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Senior Scientist, Assay and Biology Data Scientist
BenevolentAI
BenevolentAI
Job Description
We are looking for an individual with a proven track record of generating and interpreting plate-based pharmacology data from a wide variety of assay technologies and lab-based environments. You will have experience in setting up, running and supporting plate-based in vitro assays; from assay design to development of primary screens, biochemical/whole-cell and high content assays. Through your Pharmaceutical or CRO experience, you will have a good understanding of the data elements of in vitro drug discovery, such as data analysis and ELN capture in platforms like Dotmatics.
You may be a lab based scientist looking to step away from the lab, but continue to utilise your bench skills and knowledge through interactions with Contract Research Organisations (CRO) and partner lines. You will join a team of enthusiastic and highly motivated biologists within the Discovery Enabling Team (DET), working across various BenevolentAI Projects on assay set-up and screen implementation, in order to generate robust and high quality data sets to enable confident project decision making. As an experienced drug discovery scientist, you will work directly with multiple BAI project teams across our entire portfolio, including in vitro Biology, Safety, DMPK, Chemistry and Informatics, to drive our AI-driven drug discovery pipeline.
This role can be based in either of our London or Cambridge locations.
Primary Responsibilities:
- Provide screening assay input to project teams to ensure assays are fit-for-purpose
- Work directly with in house lab scientists and our compound management teams
- Work with project leads and CROs to coordinate related activities, ensuring assay throughput and data quality
- Provide advice on assay development and troubleshooting of biochemical and cellular assays
- Have oversight of externally generated in vitro data and ensure these are captured in our databases
- Develop and maintain relationships with external assay providers to ensure the needs of BenevolentAI project teams are met
Additional Responsibilities:
- Experience of creating visualisations which combine multiple data sets
- Ability to articulate compound to assay requirements and plate based compound deliverables
We are looking for someone with:
- Proven experience in the development of assays for hit/lead identification of small or large molecules within the pharmaceutical, biologics and/or biotech sector
- Excellent knowledge of screening technologies (for example ELISA, HTRF, FP, proliferation, signalling, reporter, high throughput screening, high content screening, flow cytometry), automation and assay optimisation and qualification
- A collaborative working style with good organisation and excellent communication skills
- Familiarity with the use of informatics tools in a drug discovery settings; such as Excel/Excel Fit, Prism, Genedata or ActivityBase
- Experience working in a cross-discipline team to develop in-house tools or workflows for drug discovery
- A team player who is comfortable working in a fast-paced environment
- A proactive thinker who can anticipate project requirements
About Us
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Senior Accountant
BenevolentAI
BenevolentAI
Job Description
This role is an integral role to the Finance team to deliver Financial and Management accounting and project support to the business as the Group develops its internal practices as a publicly listed group. The role requires initiative and technical confidence, taking ownership in making a positive impact wherever opportunities are identified to work with the team to improve processes and outputs.
Primary Responsibilities:
- A significant part of the role will be working with the Lead Accountant to support the project management and preparation of annual and interim accounts which are the company’s external financial reporting as a publicly listed group. This will include meeting the needs to account under multiple GAAP accounting and country regulations.
- A key team player in creating quarterly management accounts for the Group in a timely manner, ensuring these are materially accurate and professionally presented, to be shared with the CFO, Executive Leadership Team and Audit Committee.
- Project support including reviewing, designing, documenting and implementing process controls and system improvements, including new software as required.
- Organising and reviewing the appropriate compliance for EU and UK tagging of accounts in relation to filing requirements and corporation tax submissions.
- Preparing briefing presentations for Directors as part of their legal responsibilities to approve annual accounts across the Group.
- Preparing/updating technical accounting and policy memorandum.
- Key delivery of audit planning and audit output support.
Additional Responsibilities:
- Supporting timely monthly management accounts for the Group, with a particular focus on the consolidation and highly technical accounting aspects
- Supporting the accounting for collaboration and revenue accounting plus leases including new leases under IFRS 16.
- Company cross-charging of costs in compliance with the intercompany service agreements into the appropriate Group entities.
- Compliance support that may include, but is not limited to, ONS submissions.
- Support for accounts analysis used to support the corporation tax and research & development tax submissions.
- Ad hoc analysis and support for the Finance & Procurement team and wider business.
- Liaising with external accountants to support consolidated and standalone accounting and compliance.
- Ad hoc Finance team projects.
- General support and shared training with other members of the Finance team and other internal colleagues, as required.
Personal Specification:
- A highly-motivated individual who takes pride in delivering high-quality work on a consistent basis, is conscientious and sees tasks through to the end.
- A self-starter able to take ownership and prioritise workload, proactively requesting input and direction when required and managing expectations on progress and completion.
- Project management, good planning and documentation skills to help yourself and others quickly reference key information and outputs (for internal or external users).
- Being comfortable and able to adapt and embrace change in a fast-growing company, proactively looking for improvements to processes/controls to support actual and anticipated changes in business needs.
- A team-oriented approach to working, including shared learning and development; offering to support others where time permits; and focused on achieving personal and team goals and deliverables.
- Communicates clearly and professionally on relevant finance-related matters, proactively working with others to identify, alert, progress and resolve issues. Considers a company-wide view to achieving the best outcomes, being comfortable to prepare and present proposals and finance topics to management and a non-finance audience.
- Attention to detail with a high level of accuracy, ensuring information is suitably presented and reliable for sharing with management and external parties (e.g. auditors and advisers).
- An ability to think ahead, using initiative to consider, engage others and implement strategies to set objectives and meet our deliverables.
Essential Qualifications And Skills
- Fluent written and verbal communication skills in English with finance and non-finance individuals.
- Fully qualified chartered accountant with a minimum of 1-2 PQE.
- Strong financial technical understanding of IFRS.
- Strong excel skills.
Familiarity with the following is preferred, but not essential:
- Audit background.
- Experience in compiling publicly listed annual and interim accounts.
- Strong process and control environment experience and documentation skills.
- Euronext stock exchange compliance obligations.
- Biotech or Tech environments.
- Netsuite accounting platform.
About Us
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Head of Product Marketing
BenevolentAI
BenevolentAI
Job Description
BenevolentAI developed the Benevolent Platform, an AI-powered drug discovery engine to enable scientists to generate high quality drug target predictions. Our goal is to put the platform and its underlying tech in the hands of all scientists, leading to more patients living healthier lives. Your role will be to lead a team that will launch the expansion and commercialisation of the Benevolent Platform, driving towards a world-class platform that is empowering scientists across the globe. You will have full ownership of our commercialized products and hold ultimate accountability for the key decisions driving our external product strategy, development, marketing and general approach.
- Customer first - our customers’ needs fundamentally drive our product strategy. We hand-craft experiences first and then scale once we have positive feedback. You’ll work closely with our UX team to make sure our products are built and launched with a deep understanding of our customers.
- Business impact - we’re a high-growth disruptive business who challenge the status quo. We define success through creating differentiated product offerings that drive long-term sustainable growth. You’ll plan, launch, measure and seek feedback to create value for us and our customers.
- Product strategy - our core products and technologies have the ability to meaningfully change the industry. You and your team will define the value proposition, business model, and help shape the product roadmap, and collaborate with the Product & Tech team to bring these products to market at scale.
- Go to market and customer success - clear messaging about our products and solutions to our end users drives stronger adoption and ensures a successful experience. You will enable this with transparent product roadmaps and by aligning teams and functions across the organisation (e.g. operations, product marketing, project management, and customer support and service).
Primary Responsibilities:
- Alongside the SVP, Strategy & Corporate Development, you will drive product marketing and product strategy, ideating products and features that will support successful launch efforts
- Stay in close collaboration with key stakeholders across the company, including marketing, data, and drug discovery, to ensure alignment on strategy and goals and drive continued product improvement
- Support the sales and commercial leadership team with the co-creation of product launch materials and collateral alongside the product marketing team
- Engage with channel and distribution partners and platforms, where applicable
- Work with VP of Quality & Ops to improve the customer experience through product education and adoption strategies
- You will collaborate with your peers across product leadership team, including Product, Design Engineering, and Data leaders to ensure that teams are driving towards company goals
- Ensure the voice of the customer is present in all decisions made
- Work with the Communications team to help shape the external messaging and launch of our new product offerings
- Develop an up-to-date sense of key competitors and their offerings
- Work with Product Analytics teams to implement a measurement and tracking framework to manage performance/adoption on a proactive basis
- Build, manage, and coach a highly effective product team
We are looking for someone with:
- Experience in product marketing and in developing a product strategy and launching and delivering product solutions in B2B/enterprise environments
- Capability to turn numbers into a compelling story and actionable insights
- Experience with high growth apps and other modern tech platforms in a global
- environment
- Expertise in translating complicated/technical information into simple and concise
- messages
- Product management experience and strong data skills
- Exceptional written and verbal communication skills with the ability to influence and
- engage customers as well as stakeholders
- Effectiveness working collaboratively across different teams and regions
- Demonstrable ability to build and lead a team
- At least 5 years of delivering product efforts tied to revenue goals with at least 2 years of management experience
Nice to Haves:
- Life sciences background a plus.
About Us
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Director, Corporate Development, Collaborations
BenevolentAI
BenevolentAI
Job Description
Our Strategy & Corporate Development team is responsible for evaluating and driving the execution of strategic growth opportunities for BenevolentAI via partnerships and collaborations, execution of licensing deals, and robust opportunity and portfolio analysis ensuring that the appropriate rigour of commercial thinking is applied throughout our pipeline to underpin future growth.
As a member of the Strategy & Corporate Development team, you will help drive future growth through the pursuit and execution of collaboration and partnership deals with pharma, biotech, and other institutions and organisations per the strategic needs of the company.
You will be joining a growing team reporting to SVP Strategy & Corporate Development and working closely with others across the business. The role requires engaging various internal and external stakeholders, working closely with the Executive Team and collaborating across teams and functions. It also involves communicating and presenting the business opportunities internally to key stakeholders and externally to potential partners.
This is an important role that offers the opportunity to help shape the company’s growth trajectory and business opportunities and make a transformative impact in the drug discovery industry.
Primary Responsibilities:
- Together with a robust understanding of biopharma and life sciences, the ideal candidate for this role should have solid experience in executing collaboration deals in the pharma and/or tech industries. Key responsibilities for this role include:
- Undertaking outreach and engagement with potential pharma/biotech partners, building rapport and establishing strong relationships
- Building a robust pipeline of prospective collaboration discussions with pharma/biotech partners, and steering these towards high value collaboration deals
- Driving other strategic collaborations, e.g. joint ventures, alliances, channel partnerships
- Working collaboratively with the Drug Discovery, Product & Tech and Leadership teams to;
- Coordinate and execute high quality pitches and presentations to prospective external partners
- Coordinate and execute due diligence efforts with prospective external partners
- Work collaboratively with the Alliance Management/Operations team to scope the collaboration approach, building buy-in with the prospective partner and ensuring smooth transition from deal execution through collaboration kick-off.
- Work closely with the SVP Corporate Development, VP Business Development, and other Executive Leadership Team members;
- Explore and shape potential deal structures with prospective external partners
- Negotiate terms and contract execution.
- Work collaboratively with the broader Strategy & Corporate Development team to drive towards the success and delivery of departmental objectives.
We are looking for someone with:
- Together with a robust understanding of the pharmaceutical industry, the ideal candidate for this role should have a solid experience in executing collaboration deals in the pharma industry and/or tech setting
- Solid experience of undertaking collaboration and partnership deals with pharma/biotech companies
- Good understanding of the drug discovery, development and commercialisation strategic needs of the pharmaceutical industry such that you are able to effectively articulate and engage potential partners regarding potential collaboration opportunities.
- Understanding of tech solutions and services for pharma/biotech companies
- An ability to embrace new ideas and understanding and engage at the interface of science and tech.
- Excellent communication and presentation skills and an ability to engage, influence and manage various stakeholders internally and externally
- Have end to end deal experience; in outreach to and engagement with potential partners, coordinating due diligence, shaping potential deal structures, negotiating terms and contract execution.
- A driven and flexible self-starter who can prioritise a rich and interesting workload
- A team player who can work with multiple functions and stakeholders across the business
- Bachelor’s degree required (science background helpful, but not required).. Additional Scientific/ Business/ Economics qualifications advantageous10+ years of healthcare/pharma/tech industry experience; corporate development/business development or consulting experience preferred
About Us
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Preformulation and Analytical Lead
BenevolentAI
BenevolentAI
Job Description
Primary Responsibilities:
- Oversight of outsourcing of solid-form characterisation and screening on novel compounds where capabilities not yet developed, including characterisation (crystallinity, hygroscopicity, particle size, moisture content), physical form assessment (polymorph screening, salt/cocrystal screening, amorphous dispersion, stable form) and formulation
- Lead identification and preparation of suitable formulations for routine in-house PK, TE, and also high drug load formulation for safety, efficacy and toxicology studies. Define the preferred approach and train lab staff to support and develop their understanding of formulation preparation. Work with stakeholders to ensure efficient delivery of formulations for internal and external studies utilising in-house and CROs as required.
- Oversee purity assessment of the compound collection, review and establish criteria and methods of assessment for both internal and external compounds.
- Guide project teams, leading activities including oversight of preclinical formulation development, and working closely with stakeholders in multifunctional project teams.
- Oversight of ChromLogD, BCS classification, thermodynamic solubility in solvent and Fessif, Fassif, FaSGF and pH buffers, along with development of stability indicating LC-MS methods, solid state stability, and solution stability.
- Establishment of in-house laboratory capabilities where feasible , assessing form and particle size.
- Ideally we are looking for someone with extremely strong analytical skills able to oversee the strategy for purity, method development and method selection.
- Degree or PhD qualified in Pharmacy, Pharmaceutical Science or Chemistry (or related subject) and around 10 years relevant experience in industry
- Proven line management and training capabilities .
- A problem-solving mindset.
- Ability to work flexibly as part of a team of scientists.
- Experience of dissolution IVIVC Gastro plus (supported by modeller) preferred.
- Experience with development of preclinical and clinical formulations for oral and parenteral routes would be an advantage.
- Experience authoring CMC sections of IND/IMPD applications would also be an advantage.
Clinical Programme Leader
BenevolentAI
BenevolentAI
Job Description
This is an exciting opportunity to join an expanding group supporting a growing pipeline of early stage clinical projects. The team is looking for a motivated individual with a track record of transitioning pre-clinical projects to first in human trials and adept at overseeing CRO activities. Must be self-motivated, driven and proactive with strong organizational skills and able to work with limited supervision.
Reporting to the VP Clinical Programmes, the successful candidate will manage the activities of suppliers to deliver high quality studies on time and to budget.
Primary Responsibilities:
- Operational delivery of clinical development programme according to approved programme objectives, timelines, resource plan (budget, people) and quality.
- For FIH studies, work closely with internal scientific, translational and clinical colleagues to deliver fit for purpose Phase I/Ib clinical studies in line with related regulatory requirements and internal quality processes.
- Overseeing the execution of clinical trial activities in accordance with Good Clinical Practices. Ensure compliance of clinical trials with national and international regulatory requirements and company SOPs.
- Provide oversight and accountability of CROs and third-party vendors assigned to a program and play an active part in CRO selection and review of RFP’s when required, ensuring the appropriate CRO is identified and properly vetted
- Reviewing pre-study, study initiation, interim monitoring visit and at study closeout visit reports. Provides close oversight on the findings on the monitoring reports and loops back with broader team to provide updates.
- Ensuring high performance, adherence to protocol and efficiency of the CRO clinical team and investigator sites through performing of co-monitoring /accompanied site visits. Work to proactively address trial conduct issues and enrollment problems, as necessary.
- Develop and manage the overall study budget, forecast spend, and ensure study costs stay within predicted spend and identify and communicate study issues that will impact budget, resources and timelines.
- Maintaining the Sponsor Oversight File and the oversight of the TMF. Ensures TMF is maintained and complete at the end of the study. Perform periodic QC of the TMF
- Reviewing study metrics and manage risks for successful completion of studies. This includes reviewing study data and reports for trends and escalating issues as appropriate.
- Assist and contribute in authoring company study protocols, protocol amendments and other related study documents, as required, from the initial scientific discussion.
- Contribute high level input to regulatory documents such as Investigator’s Brochures and development safety update reports (DSUR); with the ability to create and/or update these where necessary and asking for input where appropriate.
- Assist in SOP and working instruction development, review and approval within the company.
- Review and approve CRFs, IRTs and other relevant specifications from a clinical perspective, ensuring the successful support of data collection.
- Contribute to IND development and other regulatory documents including but not limited to briefing books, regulatory submissions and responses.
- Contribute as required to the scientific, intellectual property, and business development aspects of the company’s activities in order to help fully realize their potential, such as; biomarkers, trial designs, FIH study designs/operational implementation and BLA/MAA filing support.
We are looking for someone with:
- Ability to perform in a small dynamic company environment with an ability to work flexibly and independently.
- Minimum of a Bachelor’s Degree in a Scientific Discipline
- Minimum 15 years’ experience
- Understanding of the drug development processes in the Pharma Industry environment.
- Excellent communication skills, able to collaborate with internal and external colleagues at all levels.
- Experience in oncology development programmes desired.
About Us
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Head of Internal Audit & Risk
BenevolentAI
BenevolentAI
Job Description
This is a newly created role, in response to the Group transitioning from a Private to Public setting. Risk Management and the related Enterprise level Framework are key areas of Governance that the Audit Committee is responsible for. The role will be responsible for the development, deployment and maintenance of the Enterprise wide Risk Management Framework, including Risk Reporting and Tracking to closure.
The right candidate will likely be a Chartered Internal Auditor (or similar background), and/or with 3-5 years post qualification experience. You will ideally have meaningful Pharma/ BioTech experience, with some exposure to a Listed Company environment. The role may represent the first step up to a ‘Head of’ role.
Primary Responsibilities:
- Work enterprise-wide to design and implement a Risk Management and Control Framework with appropriate Governance structures.
- Create, Manage and Maintain a Company-wide Risk Register, as well as owning and operating the Groups Enterprise Risk Management (ERM) Framework.
- A key activity of the role will be focused on risk; identifying, measuring and mitigating with coordination across the group and with quarterly reporting to EMT and annual reporting to the Audit Committee and Board.
- Chair the Group / Divisional Risk Committees. Build and maintain a comprehensive risk register that covers every part of the group across the key categories of Strategic Risk, Compliance Risk, Operational Risk, Financial Risk, and Reputational Risk. Proactively embed positive, confident and informed risk-taking through training, communication and promotion of the agreed risk framework.
- Develop and implement a plan with other members of the finance team to mitigate specific risks. Reporting back on a monthly and quarterly basis to the Finance Leadership Team (FLT).
- Design and create optimized risk reporting for Stakeholders including the CFO, Audit Committee, Executive Leadership Team and Board.
- Foster a culture of Risk Management and Control, top-down. Training staff on what a strong risk management and control environment looks like.
- Provide assurance to the Board, Audit Committee and Executive Team over the design and effectiveness of internal controls across the Group. Make recommendations to improve or strengthen internal controls as appropriate.
- Regular interaction with the Group's external financial regulators.
- Support the Group in preparing its annual risk management statement within the Annual Accounts and Audit Committee Report.
- Continuously develop, enhance and embed the risk framework for managing risks across the business, ensuring that processes are fit for purpose. Developing the risk competency and capability frameworks.
- Work with the various teams across the group focused on Process (development and simplification) to ensure Risk is measured and mitigated throughout. Participating in the continuous improvement of processes and procedures.
- Working with Finance in support of a strong Control environment, as would be relevant to a SOX compliance regime.
- Establishing an Internal Audit function, with an increasing Independent challenge on Management and the Business about its Risk and Control environment, evolving to match the maturity of the Organisation.
- As part of the Enterprise Risk Management Strategy ensure that Insurance is used effectively as a tool in support of Groups overall Objectives, spanning D & O, General Liability and Cyber Risks.
We are looking for someone with:
- Chartered Internal Auditor (or similar background), and/or with 3-5 years post qualification experience.
- Ideally have meaningful Pharma/ BioTech experience, with some exposure to a Listed Company environment.
- A highly motivated individual who can communicate well at all levels with finance and non-finance individuals and Senior Leadership/ Department Heads.
- Can adapt and embrace change in a fast-moving and challenging environment, where the infrastructure is yet to be implemented and agility to navigate an efficient and rigorous framework implementation will be key.
- Advanced skills in Presenting, Reporting, and being able to navigate and simplify complex information and situations would be a notable advantage.
- In-depth knowledge of the Generally Accepted Auditing Standards (GAAS)
- Excellent research and analytical skills, to give objective and evidence-based findings
- High levels of integrity and ethical standards
- A keen eye for detail to successfully scrutinize data
- In-depth knowledge of accounting software and standards
About Us
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Frontend Engineer (London Area, UK)
BenevolentAI
BenevolentAI
Job Description
Primary Responsibilities:
- Deliver new web application features and functionalities for scientists
- Drive a consistent User Experience across our product, working closely with ‘UX’
- Collaborate with Biologists, Chemists, ML/AI Scientists and Data Scientists
- Apply web development best practices to write reliable, maintainable code
- Contribute to team sprint ceremonies, idea sessions, and knowledge shares
- Embrace varied delivery practices: prototypes, MVPs, and production-level code
- Help scale our frontend architecture and developer tooling capabilities
- 3+ years of commercial development experience
- Enthusiasm to explore the Biomedical problem domain (no experience expected!)
- Passion for elegant UI/UX solutions
- Strong communicator who works well within a team
- Desire to work with Typescript, Vue (CompositionAPI), GraphQL, Apollo, NodeJS
- Interest in developer tooling e.g. Vite, Turborepo
- Bonus points for interest in CI/CD (e.g. Gitlab Pipelines), Docker, Kubernetes
Drug Discovery Project Leader
BenevolentAI
BenevolentAI
Job Description
Primary Responsibilities:
- Responsible/accountable for overall leadership of one or more small molecule drug discovery programmes from Hit ID through to Candidate nomination
- Devise, lead and implement clear strategies to advance assigned programmes through key stage gates within timelines and budget, regularly updating senior leadership with clear strategic recommendations
- Work closely with experts across chemistry, biology, safety & DMPK as well as computational chemistry, cheminformatics and bioinformatics, providing robust scientific challenge to ensure strong decision making
- Coordinate with functions to ensure the appropriate resource and experience are supporting the project team at the required time and that assigned resources are effectively utilised
- Contribute to external collaborative relationships with academic leaders and contract research organisations as needed
- Contribute to departmental leadership to influence wider drug discovery projects and processes/technologies
- Matrix leadership of cross-functional teams will be an essential part of the role and direct supervision of others may also be required
- Experience of leading programmes in preclinical development would be advantageous, though not required for the role
- A PhD or equivalent in a biological or chemical science with >8 years of industry research experience, or a relevant degree with >13 years of industry research experience, and preferably at least 3 years providing overall leadership for drug discovery programmes
- Proven ability to work successfully in multi-disciplinary drug discovery teams and to lead small molecule drug discovery programmes to Candidate nomination
- Ability to work resiliently under pressure, manage complex projects and deliver to defined timelines ensuring all studies and documents are completed as required
- Ability to critically analyse and act upon complex datasets across all disciplines, making pragmatic data-driven decisions to advance assigned projects
- Understanding of all aspects required to position programmes for a successful transition into pre-clinical and clinical phases, as well as for partnering
- Evidence of creative thinking and problem-solving, confidently applying novel strategies to efficiently move projects to important decision points
- Previous line management experience and the ability to motivate and develop team members
- Excellent oral and written communication skills, able to tailor the complexity of communications as and when required, whilst maintaining clarity of communication
Clinical Programme Leader - Contract
BenevolentAI
BenevolentAI
Job Description
Reporting to the VP Clinical Programmes, the successful candidate will manage the activities of suppliers to deliver high quality studies on time and to budget.
This is a 4-month Fixed Term Contract role and is part time, 3 days per week.
Primary Responsibilities:
- Operational delivery of clinical development programme according to approved programme objectives, timelines, resource plan (budget, people) and quality.
- Develop project scope, integrated cross functional plans (with highlighted critical path), timelines, budget and risk mitigation plans.
- Overseeing the execution of clinical trial activities in accordance with Good Clinical Practices. Ensure compliance of clinical trials with national and international regulatory requirements and company SOPs.
- Reviewing pre-study, study initiation, interim monitoring visit and at study closeout visit reports. Provides close oversight on the findings on the monitoring reports and loops back with broader team to provide updates.
- Ensuring high performance, adherence to protocol and efficiency of the CRO clinical team and investigator sites through performing of co-monitoring /accompanied site visits. Work to proactively address trial conduct issues and enrollment problems, as necessary.
- Maintaining the Sponsor Oversight File and the oversight of the TMF. Ensures TMF is maintained and complete at the end of the study. Perform periodic QC of the TMF
- Management of the TMF archiving process and ensuring that TMF is archived at the end of the trial in compliance with Good Clinical Practice (GCP) und Standard Operating Procedures (SOPs).
- Reviewing study metrics and manage risks for successful completion of studies. This includes reviewing study data and reports for trends and escalating issues as appropriate.
- Support with data review activities in readiness for database lock.
- Ability to perform in a small dynamic company environment with an ability to work flexibly and independently.
- Minimum of a Bachelor’s Degree in a Scientific Discipline
- Minimum 8 years’ experience
- Understanding of the drug development processes in the Pharma Industry environment.
- Excellent communication skills, able to collaborate with internal and external colleagues at all levels.
Lead Security Manager
BenevolentAI
BenevolentAI
Job Description
The lead security manager will be responsible for managing all our GRC programs and Security engineering. The successful candidate will be responsible for information security across our three sites; our large AWS cloud infrastructure and hybrid backoffice cloud services. You will lead programs in Risk Management, Supply chain security, policy development and maintenance and compliance frameworks.
Primary Responsibilities:
- Develop security roadmaps and strategies to reduce the organisational risk posture.
- Manage the cyber risk program
- Manage security awareness training program.
- Develop and improve security-related policies and procedures.
- Maintain alignment or compliance with Information security frameworks.
- Assess and monitor the security posture of data service providers.
- Act as the subject matter expert for Information security controls and services.
- Manage security audits and compliance with security regulations or certification.
- Manage and maintain all security tools and technology.
- Support the Data Protection team, monitoring technical controls mapped to data protection risks
- Support the Data Governance team, alignment of technical controls in accordance to data governance requirements
- Bachelor’s degree in Computer Science or related experience.
- 7+ years experience in a hands-on cloud security role.
- Experience maintaining a cyber risk management program.
- Strong comprehension of ISO 27001 ISMS requirements.
- Good understanding of compliance frameworks (ISO 27001, NIST CSF, Cyber Essentials)
- Experience in cyber security awareness programs.
- Demonstrable experience in developing security roadmaps and strategies.
- Good Understanding of Data protection regulations.
- Good understanding of Amazon Web Services (AWS)
- Experience operating supplier security programs.
- Strong stakeholder management skills.
- Must be easily adaptable and able to work in a changing environment
- CISSP, CISM or CRISC certifications
- Master’s degree in Computer Science or related.
- Experience working in Healthcare, Financial, or another regulated environment
- Any of the AWS associate certifications
DMPK Senior Scientist
BenevolentAI
BenevolentAI
Job Description
The Role
An exciting opportunity is available for an enthusiastic, self-motivated scientist to join our DMPK lab team in our Cambridge Laboratories. We are a small group addressing a wide range of DMPK assays, ranging from in-vitro ADME assays to PK bioanalysis and PK parameter generation metabolite identification and elucidation of routes of metabolism , including the design, execution, analysis, interpretation and high-quality reporting of these experiments. We have modern instrumentation, automated liquid handlers coupled with Watson PK LIMS, Dotmatics electronic laboratory notebook and data warehouse to facilitate experiment management and reporting.
In addition, as a part of continuous personal development and learning, there will be opportunities to gain further understanding of the DMPK discipline and contribute to work supporting our drug discovery project teams.
Primary Responsibilities:
- You will perform discovery studies to understand the pharmacokinetics (PK) and absorption, metabolism, distribution, and excretion (ADME) of candidate drug molecules.
- You will perform experiments from start to finish, including the running the assays, analysis, interpretation and reporting of discovery DMPK data generated.
- Where appropriate, you will assist with experimental design and troubleshooting.
- Conduct data processing, as well as data review and QC checking.
- Depending on skills and experience you will be encouraged to critically evaluate our processes and contribute to assay development, including the experimental design, execution, data reduction and interpretation.
- B.Sc., M.Sc. and/or Ph.D. in pharmaceutical sciences, Chemistry, Biochemistry or related disciplines with knowledge of absorption, distribution, drug metabolism and pharmacokinetics.
- Proficiency in operating and trouble-shooting liquid chromatography-tandem Mass spectrometer systems (LC-MS/MS) would be an advantage, although we have mature workflows in place and full training will be given.
- Some biotech and/or pharmaceutical industry experience in discovery DMPK.
- Outstanding written and verbal communication skills.
- Ability to multitask and prioritise workload, with excellent attention to detail.
- Experience using balances, pipettes, pH meters, & centrifuges; with the ability to prepare reagents with all basic lab equipment/calculations.
- Computing skills, including word processing and use of spreadsheets (e.g. Microsoft Office packages and Google G-suite).
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. BenevolentAI has a consistently proven track record
Senior Frontend Engineer
BenevolentAI
BenevolentAI
Job Description
Primary Responsibilities:
- Deliver new web application features and functionalities for scientists
- Scale our frontend architecture and developer tooling capabilities
- Drive a consistent User Experience across our product, working closely with ‘UX’
- Collaborate with Biologists, Chemists, ML/AI Scientists and Data Scientists
- Participate in sprint ceremonies, write tickets and/or coordinate work streams
- Mentor junior team members on modern web application practices
- Embrace varied delivery practices: prototypes, MVPs, and production-level code
- Over time, contribute to our long-term engineering strategy
- 5+ years of commercial development experience
- Enthusiasm to explore the Biomedical problem domain (no experience expected!)
- Passion for elegant UI/UX solutions
- Strong communicator who works well within a team
- Advocate for good engineering practices, with the pragmatism to assess tradeoffs
- Desire to work with Typescript, Vue (CompositionAPI), GraphQL, Apollo, NodeJS
- Interest in developer tooling e.g. Vite, Turborepo
- Bonus points for interest in CI/CD (e.g. Gitlab Pipelines), Docker, Kubernetes
Drug Discovery Project Scientist (In-Vivo)
BenevolentAI
BenevolentAI
Job Description
Primary Responsibilities:
- Within the project team, serve as a scientific expert contributing at a high level across in-vivo pharmacology activities, including supporting PKPD, translational efficacy models, TE and biomarker strategy, study design, implementation and interpretation.
- Developing a deep understanding of disease mechanism and target biology, participating in broader project strategy and decision making.
- With a comprehensive understanding of all aspects of study design and implementation, you will be responsible for establishing strong cross functional relationships with key stakeholders within the project core teams, resulting in cohesion and clarity in the delivery of studies and the presentation of decision making data.
- Where required, coordinating in vivo studies in multiple projects across the portfolio to ensure high quality, efficiency and timely delivery of studies whether external or internal.
- You will also have the opportunity to work with other in vivo project reps to support target identification disease deployments.
- Current Personal Home Office Licence holder (modules 1-4/A-C, with Module 5 being desirable) is useful but not essential
- Experience writing reports and documentation to support regulatory filing is useful but not essential
- An in-depth understanding of therapy areas such as neuroscience, oncology, and immunology, and in addition drug safety etc would be valuable would be useful but not essential
- PhD or Degree qualified with experience of working in a vivarium and on in-vivo research activities in drug discovery
- Experience working as a functional representative on project teams, ideally to preclinical development stage but not essential
- Experience of working closely with DMPK and biology leads within project environments, and ideally with a good understanding of drug delivery and PK in relation to PD
- A good understanding of integrated physiology, pathophysiology and in vivo practice and procedures. Experience in designing, directing and implementing in vivo experiments to respond to key research and pharmacodynamic questions in at least two different therapeutic areas
- An in-depth understanding of at least two diverse disease areas
- Evidence of scientific contributions to data-driven decisions that significantly influence project strategy and/or the achievement of key project milestones
- Experience of working with external KOL and/or CROs desirable.
- Excellent communication skills
- Previous Personal Home Office Licence holder (modules 1-4/A-C)
DMPK Principal Scientist
BenevolentAI
BenevolentAI
Job Description
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
The Role
This is an exciting opportunity to join an expanding group supporting a growing pipeline of projects. We are looking for a motivated individual with a track record of working within project teams as the DMPK point of contact, able to show how they successfully influenced the progress of the teams they were a part of. Reporting to the Director Drug Discovery, DMPK, the individual will play an important role in helping to shape the non clinical DMPK and PK/PD strategy for projects. They will be expected to engage fully in multi-functional collaborations to support profiling of lead compounds /drug candidates, building a clear picture of IVIVC PK/PD, and ultimately to support progression of drug candidates through to the clinic.
Primary Responsibilities:
- You will be responsible for delivering robust IVIVC strategies and experienced in providing solutions to scaling problems
- Interpretation and communication of DMPK data and recommendations to drug discovery project teams to aid effective drug design and risk mitigation
- You will lead DMPK activities within a project and work with colleagues within and across projects, influencing the way we support drug discovery and development
- Develop and execute effective non clinical PK/PD strategies from early discovery through to development, ultimately delivering robust human pk and dose prediction
- Write ADME sections of IB, and drug development plan
- You will have the opportunity to manage and/or mentor junior members of the group
- Aid in the design and implementation of the DMPK strategy for the wider DMPK organisation
- You will have the opportunity to work within the wider drug discovery group, providing input across all stages of the pipeline
- Ideally experienced in candidate profiling for LO, preclinical and clinical development, with proven problem solving and critical thinking skills.
- Experienced in determination and interpretation of ADME properties, IVIVC, human dose prediction, understanding of PBPK, calculation of safety margins, able to adapt study designs.
- Up to date with industry practice and regulatory guidance, including MIST guidelines.
- As a key contributor within a cross functional team you should be comfortable working in a fast paced, dynamic environment and on multiple projects with changing priorities and deadlines
- You will be an excellent communicator, able to collaborate with internal and external colleagues. You will be willing to share knowledge with more junior members of the team with the possibility of line management responsibilities.
- Experience with Phoenix ( experience with PBPK modelling packages would be a bonus)
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. BenevolentAI has a consistently proven track record of scientifically validated discoveries. The BenevolentAI Platform™ powers a growing in-house pipeline of over 20 disease programmes, spanning from target discovery to clinical studies, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Senior Cheminformatics Data Scientist - AI/ML Specialist
BenevolentAI
BenevolentAI
Job Description
The Cheminformatics team is a high performing cross-functional team that seeks to apply their knowledge to a diverse range of programmes from Target Identification through Hit ID, Hit Expansion and Lead Optimisation. Our role is to aid the advancement of our small molecule Drug Discovery programmes by devising computational solutions to project-specific challenges and applying new and existing technologies to support the needs of our wider portfolio.
As a Senior Cheminformatics Data Scientist - AI/ML Specialist within the team, you will contribute to this challenge by leading our QSAR modelling initiatives within cheminformatics, to advance our small molecule drug discovery programmes. You will work closely with cheminformaticians, and medicinal and computational chemists, to develop QSAR models, design new AI/ML approaches for project-specific challenges, and apply a range of new and existing technologies to support the needs of our wider portfolio.
Primary Responsibilities:
- Lead our QSAR modelling initiatives and find new AI/ML-driven solutions to apply across our small molecule drug discovery projects.
- Build, evaluate and deliver QSAR models to advance our small molecule Drug Discovery programmes, and to support their use by project teams.
- Develop processes, customisable workflows and computational techniques that can be adapted and applied across the drug discovery portfolio.
- Contribute to the development of our technical cheminformatics capabilities, particularly in the area of applied AI/ML, and help define the long-term strategic thinking of the Chemoinformatics team.
- Collaborate and communicate effectively with members of the Chemoinformatics, Computational Chemistry, Bioinformatics, Drug Discovery, Artificial Intelligence, Engineering and Product teams.
- Nurture talent at BenevolentAI by sharing experience and offering a mentoring role, where appropriate
- PhD or equivalent in a field related to Chemoinformatics or Machine Learning, or a closely related field.
- Demonstrable experience in developing QSAR models for drug discovery, particularly in medicinal chemistry.
- Innovator of new ideas and approaches in the field of AI for chemistry, as demonstrated by appropriate papers, presentations, and code contributions to open source projects.
- Strong knowledge of Python, deep learning frameworks (e.g. TensorFlow, PyTorch), and state-of-the art ML approaches.
- Strong and demonstrable programming and technical skills, and familiar with open source and proprietary Chemoinformatics libraries e.g. RDKit or other leading industry toolkits.
- Practical experience processing and deriving novel insights from large chemical data resources, e.g. ChEMBL, SureChEMBL, and PubChem.
- A solid understanding of Chemoinformatics approaches and their application to live drug discovery projects, and being able to objectively design scientifically-merited experiments.
- Excellent communication skills, especially when working with colleagues from other specialities.
- Familiarity with the drug discovery process, and an understanding of what is involved in medicinal chemistry optimisations.
- Familiarity with computer-aided drug design approaches, such as compound library design, docking, virtual screening, molecular fragmentation, structure-based drug design, pharmacophore generation and analysis, multi-parameter optimisation.
- Familiarity with commercial Cheminformatics and computational chemistry tools, such as those from Schrodinger, ChemAxon, and KNIME.
- Familiarity with modern software development paradigms, including containerisation with Docker, GitOps, and cloud computing on AWS with Kubernetes.
Drug Discovery Project Leader - Preclinical Development
BenevolentAI
BenevolentAI
Job Description
As a central member of a dynamic, multi-disciplinary team of scientists passionate about aligning preclinical drug discovery with clinical requirements, you will bring your proven resilient leadership and ability to make pragmatic data driven decisions to advance our ever expanding late stage portfolio of small molecule programs. Based at our London offices off Tottenham Court Road, you will work closely with a diverse range of experts in biological sciences, chemical sciences, safety/toxicology, clinical and commercialisations teams to progress the BAI portfolio.
Primary Responsibilities:
- Provide leadership for small molecule drug discovery programs from candidate seeking through to preclinical development
- Devise, lead and implement clear concise strategies to facilitate decisions to progress candidate molecules through candidate nomination and preclinical development stage gates within timelines and budgets
- Responsible/accountable for overall project leadership, regularly reporting progress and issues with clear strategic recommendations to Senior leadership, Board of Directors, and/or Investors as and when required
- Coordinate with functions to ensure the appropriate resource and experience are supporting the project team at the required time and that assigned resources are effectively utilised
- Proven ability to interact with clinicians, clinical project managers and KOLs to design preclinical and clinical development studies to facilitate late stage candidate compound progression
- Contribute to external collaborative relationships with academic leaders and contract research organisations
- BSc / MSc / PhD in biological or chemical sciences with 3 - 8 years industry research experience, preferably with at least 3 years providing overall leadership for late stage small molecule drug discovery programmes
- Proven ability to lead small molecule drug discovery programmes through candidate nomination and preclinical development stage gates in at least two different therapy areas
- Experience successfully leading/working in multi-disciplinary drug discovery & development teams, with excellent communication skills and the ability to forge productive relationships and collaborations both internally and externally
- Sufficient depth of knowledge of late stage drug discovery with a clear working knowledge of which key studies need to be performed, when these need to be performed and what are the dependencies
- Preclinical development experience is necessary, whereas clinical development experience is desirable but not essential
- Ability to work under pressure, manage projects and deliver to defined timelines ensuring that all studies and documents are completed to support clinical trial applications
- Evidence of creative thinking and problem solving, confidently applying novel strategies to move projects to important decision points quickly and efficiently
- Excellent oral and written communication skills e.g. can tailor the complexity of communications as and when required, whilst maintaining clarity of communication
Senior Chemiformatics Data Scientist
BenevolentAI
BenevolentAI
Job Description
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
- Lead the cheminformatics and computational modelling support for several drug discovery projects, working closely with medicinal and computational chemists, and the rest of the project team.
- Apply a wide range of computer-aided drug design techniques to identify and develop small molecules, including virtual screening, reaction and fragment enumeration, de novo design, and chemical library design and sampling.
- Build, evaluate and deliver QSAR models to advance our small molecule Drug Discovery programmes, and to support their use by project teams.
- Develop processes, customisable workflows and computational techniques that can be adapted and applied across the drug discovery portfolio.
- Collaborate and communicate effectively with members of the Chemoinformatics, Computational Chemistry, Bioinformatics, Drug Discovery, Artificial Intelligence, Engineering and Product teams.
- Contribute to the development of our technical cheminformatics capabilities and help define the long-term strategic thinking of the Chemoinformatics team.
- Nurture talent at BenevolentAI by sharing experience and offering a mentoring role, where appropriate.
- PhD or equivalent in Chemoinformatics, Computational Chemistry, Molecular Modelling or a closely related field.
- Strong and demonstrable knowledge of chemoinformatics approaches and their application to live drug discovery projects, and the ability to objectively design scientifically-merited experiments.
- Practical experience of computer-aided drug design, such as compound library design, docking, virtual screening, molecular fragmentation, structure-based drug design, pharmacophore generation and analysis, multi-parameter optimisation.
- Practical experience in developing, deploying and applying QSAR models for small molecule drug discovery.
- Practical experience processing and deriving novel insights from large chemical data resources, e.g. ChEMBL, SureChEMBL, and PubChem.
- Strong and demonstrable programming and technical skills, and familiar with open source and proprietary Chemoinformatics libraries e.g. RDKit or other leading industry toolkits.
- Innovator of new ideas and approaches in the Chemoinformatics and Computational Chemistry fields of research, as demonstrated by appropriate papers, presentations, or code contributions to open source projects.
- Excellent communication skills, especially when working with colleagues from other specialities.
- Familiarity with commercial Cheminformatics and computational chemistry tools, such as those from Schrodinger, ChemAxon, and KNIME.
- Familiarity with deep learning frameworks (e.g. TensorFlow, PyTorch), and state-of-the art ML approaches.
- Familiarity with modern software development paradigms, including containerisation with Docker, GitOps, and cloud computing on AWS with Kubernetes.
Senior Financial Planning Analyst
BenevolentAI
BenevolentAI
Job Description
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
- Management Accounts – Preparation of sections of the consolidated monthly Management Accounts and preparing variance analysis, reviewed with Director of FP&A.
- Monthly Cost Analysis - Detailed analysis of costs by function, variance analysis and insight generation.
- Financial Business Partnering - Support the functional heads of departments with all financial issues. Support will include budget management, insight generation and business plan delivery. The goal is to add value to the rest of the business and make Finance Business Partnering indispensable.
- Finance Operations – Embodying a ‘one finance’ mentality, ensuring that Finance can respond holistically to the needs of the business, across FP&A, Reporting and Operations. Working with the Financial Operations team to ensure optimal data structuring for core financial models and Finance systems.
- Business Planning – Engaging with Budget holders to assist them with their submissions and ensuring they are in line with the Group’s OKRs. Assistance with preparation of Financial Plan documents.
- Financial Modelling – Preparation of financial models and ad hoc analysis to assist with key business decisions and corporate development.
- Continuous Process Improvement – Supporting and in some cases leading process improvement work streams both internal to finance and externally with Business Partners and driving efficiency and alignment through process optimisation.
- Unique and Ad Hoc Projects - There are numerous initiatives to get involved with in a scaling business like ours, which means that any two days are rarely the same. Responsibilities can evolve over time in response to changing priorities and provide an opportunity to develop a wide breadth of experience.
- Newly qualified (ACA, ACCA, CFA, CIMA etc) or with one year of post-qualification experience.
- Ideally have Pharma/ BioTech experience, with exposure to an FP&A role, including FP&A system solutions either via operating or ideally as part of an evaluation/ implementation.
- A highly motivated individual who can communicate well at all levels with finance and non-finance individuals. Can adapt and embrace change in a fast-moving and challenging environment.
- Advanced skills in Excel, and experience with data structuring, manipulation and visualisation principles and tools are core to this role, with advanced tools such as PowerQuery, PowerBI and Tableau being a notable advantage.
- Familiarity with ERP systems such as Netsuite Planning and Budgeting, Adaptive Insights, Anaplan or others would be an advantage.
Director of Legal (London, UK)
BenevolentAI
BenevolentAI
Job Description
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
- Drafting, reviewing and amending a wide variety of complex day-to-day commercial legal agreements.
- Developing and drafting documentation to support collaboration and licensing agreements.
- Providing general ad-hoc commercial legal support across the breadth of the business.
- Scoping, developing and rolling out a business partnering model to ensure deep integration of the legal team within the business.
- Managing, developing and supporting a small team of stellar legal professionals.
- Supporting the development and roll-out of new products and services from a legal perspective.
- Being a key driver of streamlining existing processes, documentation and precedents, and developing and improving self-service tools for the business to enable the legal team to scale as the business grows.
- Assisting in the provision of regular training to the business and legal updates to the team.
- Assisting from time to time with HR and employment-related legal matters and ad-hoc corporate transactions - bonus points for prior experience of either.
- Assisting with major corporate transactions from time to time.
- 10+ years’ post-qualification legal experience, although all experiences and backgrounds will be given due consideration.
- A mixture of private legal practice and in-house experience is preferred - ideally at least 5 years of this experience will have been gained working in-house in the technology or biotechnology sectors, preferably in a start-up or other high-growth environment (time on secondment is also useful).
- Undergraduate law degree (preferably from a common law jurisdiction), or non-legal degree with conversion and completed Legal Practice Course.
- A solid understanding of the key commercial legal issues facing a company such as BenevolentAI, including applicable licensing, IP creation and ownership and data privacy frameworks.
- Experience in commercial in-licensing and out-licensing deals in the biotechnology/pharmaceutical/life sciences sector.
- Experience in structuring and drafting data licensing and similar agreements.
- A “can-do” attitude and a willingness to learn and exist outside of your comfort zone.
- Interest, knowledge and experience of the technology and biotechnology/pharmaceutical industries and surrounding law and regulation.
- An interest in legal operations and a willingness to identify and implement solutions and processes to drive efficiencies.
- Excellent interpersonal, written and verbal communication skills.
- Evidence of a constant desire to drive for results and steadfastly pushing themselves and others for results.
- Making internal customers and stakeholders a top priority and understanding and meeting their needs and expectations.
- Prior experience in line management.
Chief Medical Officer
BenevolentAI
BenevolentAI
Job Description
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
The Role
The Chief Medical Officer will report directly to the Chief Scientific Officer. The primary role of the CMO will be to provide leadership and direction for the organisation’s pipeline of clinical development programs. The CMO will be responsible for the strategy, direction and execution of the company’s clinical development plans.
Primary Responsibilities:
- Accountable for the development and execution of the medical and clinical development strategy throughout the development life cycle
- Oversight of Development Plans through management of third party CROs and supervision of medical and scientific experts in clinical development
- Close collaboration with internal experts (Regulatory, CMC, commercial, program management) and external government agencies, DMCs, scientific networks and KOLs on delivering successful development programs, registration and reimbursement dossiers
- Medical representative of the company during BD activities and investor interactions
- Participation in the executive management team of the company when required
- Responsible for the orchestration and management of clinical aspects of regulatory strategies and interactions with Health Authorities
- Accountable for the design, implementation, safety, and data quality for all company-sponsored clinical studies
- Oversee the analysis and interpretation of clinical trial data and the reporting of clinical trial results
- Lead interactions with academic thought leaders, investigators, cooperative groups, and other clinical stakeholders
- Knowledge of relevant FDA regulations and guidelines as well as those of the EU and other health authorities; experience in interactions with FDA personnel is essential; experience in interactions with other health authorities a plus
- Experience or knowledge of Orphan or genetic rare disease drug development a plus
- Experience in translational medicine, clinical pharmacology and early-stage development is desirable
- Excellent knowledge of the competitive environment for drugs across a range of disease-specific marketplaces and in research and development pipelines
- Must have a thorough knowledge of clinical research concepts, practices, and GCP and ICH Guidelines.
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. BenevolentAI has a consistently proven track record of scientifically validated discoveries. The BenevolentAI Platform™ powers a growing in-house pipeline of over 20 disease programmes, spanning from target discovery to clinical studies, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Senior Chemist - Data Management
BenevolentAI
BenevolentAI
Job Description
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
The Role
We are looking for a proactive and dilligent chemist ready to step out of the wet lab to take on a Senior Scientist role in Compound Management. You will be a key member of our Compound Management Group and responsible for registration, storage and provision of chemical compounds. In the Discovery Enabling Team (DET), you will make important contributions to Compound Management processes and support our Drug Discovery programmes from Lead Optimisation through Candidate Selection and into Pre-Clinical & Clinical Development. You’ll be responsible for improvements and implementation of robust processes for Compound Registration, Inventory Management and Quality Control with efficiency and robust data capture at its core. You will be the main point of contact and specialist for internal and external Compound Management processes, working closely with the in-house Technicians, Chemistry Group, In Vitro Biology and DMPK teams as well as external Contract Organisations. There will be opportunities to develop yourself in the areas of data pipelining, laboratory automation and analytical QC.
Based at the Babraham Research Campus in Cambridge (UK), the successful Candidate will work within a team supporting all small molecule compound management processes for Drug Discovery.
Primary Responsibilities:
- Management and support for Compound Registration, Inventory, Labelling and Storage processes to ensure accurate sample tracking and processing
- Responsibility for accurate Barcoding and Labelling of Reagents and Compounds procured by the in-house Chemistry Department
- Ensure efficient support and communication between Compound Management, internal BAI teams and external customer groups
- Identify technologies for continuous improvement to Compound Management processes for internal and external non-Chemistry customer groups
- Manage Registration, Quality Control and Updates of a focused chemogenomic compound library
- Work with external Chemistry CROs to ensure seamless transfer of samples and data between different sites
- Knowledge in the area of lab automation, compound and liquid handling as well as manipulating plates, tubes and vials is highly desired
- We are constantly looking for new ways to improve the drug discovery process, so you will have a proactive and positive problem-solving mindset, allowing you to contribute strategically and implement ideas to drive new ideas forward
- A PhD or BSc/Msc and equivalent experience in chemical sciences, or closely related areas
- Good knowledge of LIMS and sample management databases
- Experience in using software such as Excel, Google Sheets, PowerPoint
- Knowledge of liquid handling robots and processes
- Experience in Analytical automation for compound file management
- A collaborative working style with clear communication and team building skills
- Familiarity with process automation through data processing and pipelining tools such as Knime desirable
- Basic knowledge of API data calls desirable
- Knowledge of analytical QC methods including UPLC, MS and NMR desirable
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. BenevolentAI has a consistently proven track record of scientifically validated discoveries. The BenevolentAI Platform™ powers a growing in-house pipeline of over 20 disease programmes, spanning from target discovery to clinical studies, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Advanced Software Engineer
BenevolentAI
BenevolentAI
Job Description
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
The Role
The Software Engineering team is focused on applying engineering rigour and innovative design to the BenevolentAI software platform. We embrace a modern microservice architecture on Kubernetes in order to orchestrate a machine learning platform that empowers drug discovery.
Primary Responsibilities:
- Design and build software to solve complex data requirements and user needs across biology, chemistry, AI, and data science.
- Promote engineering best practices, such as code reviews, test-driven development, pair programming.
- Strong in at least one programming language (Python / Java / JavaScript preferred).
- Basic algorithms and data structures for software development.
- Basic understanding of machine learning and/or distributed systems.
- Experience working with at least one of the following software systems:
- web frameworks, databases, APIs, microservice architectures
- Experience in at least one of the following software domains:
- frontend development, backend development, data processing pipeline
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery and development company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. The Benevolent Platform™ powers a growing in-house pipeline of 13 named drug programmes and over 10 exploratory programmes, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Director - Drug Discovery / Pharmacology
BenevolentAI
BenevolentAI
Job Description
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
The Role
BenevolentAI (BAI) has an opportunity for a drug discovery scientist with experience in leading drug discovery programmes from candidate nomination, through preclinical development and into clinical trials. This individual will provide overall project leadership for small molecule drug discovery programmes progressing candidate molecules into clinical trials.
As a central member of a dynamic, multi-disciplinary team of scientists passionate about aligning preclinical drug discovery with clinical requirements, you will bring your proven resilient leadership and ability to make pragmatic data driven decisions to advance our ever expanding late stage portfolio of small molecule programs. Based at our London offices off Tottenham Court Road, you will work closely with a diverse range of experts in biological sciences, chemical sciences, safety/toxicology, clinical and commercialisations teams to progress the BAI portfolio.
Primary Responsibilities:
- Provide leadership for small molecule drug discovery programs from candidate seeking through to preclinical development
- Devise, lead and implement clear concise strategies to facilitate decisions to progress candidate molecules through candidate nomination and preclinical development stage gates within timelines and budgets
- Responsible/accountable for overall project leadership, regularly reporting progress and issues with clear strategic recommendations to Senior leadership, Board of Directors, and/or Investors as and when required
- Coordinate with functions to ensure the appropriate resource and experience are supporting the project team at the required time and that assigned resources are effectively utilised
- Proven ability to interact with clinicians, clinical project managers and KOLs to design preclinical and clinical development studies to facilitate late stage candidate compound progression
- Contribute to external collaborative relationships with academic leaders and contract research organisations
- BSc / MSc / PhD in biological or chemical sciences with 3 - 8 years industry research experience, preferably with at least 3 years providing overall leadership for late stage small molecule drug discovery programmes
- Proven ability to lead small molecule drug discovery programmes through candidate nomination and preclinical development stage gates in at least two different therapy areas
- Experience successfully leading/working in multi-disciplinary drug discovery & development teams, with excellent communication skills and the ability to forge productive relationships and collaborations both internally and externally
- Sufficient depth of knowledge of late stage drug discovery with a clear working knowledge of which key studies need to be performed, when these need to be performed and what are the dependencies
- Preclinical development experience is necessary, whereas clinical development experience is desirable but not essential
- Ability to work under pressure, manage projects and deliver to defined timelines ensuring that all studies and documents are completed to support clinical trial applications
- Evidence of creative thinking and problem solving, confidently applying novel strategies to move projects to important decision points quickly and efficiently
- Excellent oral and written communication skills e.g. can tailor the complexity of communications as and when required, whilst maintaining clarity of communication
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. BenevolentAI has a consistently proven track record of scientifically validated discoveries. The BenevolentAI Platform™ powers a growing in-house pipeline of over 20 disease programmes, spanning from target discovery to clinical studies, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.
Director of Translational Sciences
BenevolentAI
BenevolentAI
Job Description
With over 35 nationalities and a range of backgrounds represented in our Benevolent team, we aim to build an inclusive environment where our people can bring their authentic selves to work, be respected for who they are and the exceptional work they do. We welcome and actively encourage applications from all sections of society and are committed to offering equal employment opportunities regardless of sex, race, religion or belief, ethnic or national origin, marital, domestic or civil partnership status, sexual orientation, gender identity, parental status, disability, age, citizenship, or any other basis. We see our diversity as an asset as we tackle challenging problems that bridge the gap between drug discovery and technology.
The Role
BenevolentAI (BAI) has an opportunity for a drug discovery scientist with experience in leading drug discovery programmes from candidate nomination, through preclinical development and into clinical trials. This individual will provide overall project leadership for small molecule drug discovery programmes progressing candidate molecules into clinical trials.
As a central member of a dynamic, multi-disciplinary team of scientists passionate about aligning preclinical drug discovery with clinical requirements, you will bring your proven resilient leadership and ability to make pragmatic data driven decisions to advance our ever expanding late stage portfolio of small molecule programs. Based at our London offices off Tottenham Court Road, you will work closely with a diverse range of experts in biological sciences, chemical sciences, safety/toxicology, clinical and commercialisations teams to progress the BAI portfolio.
Primary Responsibilities:
- Provide leadership for small molecule drug discovery programs from candidate seeking through to preclinical development
- Devise, lead and implement clear concise strategies to facilitate decisions to progress candidate molecules through candidate nomination and preclinical development stage gates within timelines and budgets
- Responsible/accountable for overall project leadership, regularly reporting progress and issues with clear strategic recommendations to Senior leadership, Board of Directors, and/or Investors as and when required
- Coordinate with functions to ensure the appropriate resource and experience are supporting the project team at the required time and that assigned resources are effectively utilised
- Proven ability to interact with clinicians, clinical project managers and KOLs to design preclinical and clinical development studies to facilitate late stage candidate compound progression
- Contribute to external collaborative relationships with academic leaders and contract research organisations
- BSc / MSc / PhD in biological or chemical sciences with 3 - 8 years industry research experience, preferably with at least 3 years providing overall leadership for late stage small molecule drug discovery programmes
- Proven ability to lead small molecule drug discovery programmes through candidate nomination and preclinical development stage gates in at least two different therapy areas
- Experience successfully leading/working in multi-disciplinary drug discovery & development teams, with excellent communication skills and the ability to forge productive relationships and collaborations both internally and externally
- Sufficient depth of knowledge of late stage drug discovery with a clear working knowledge of which key studies need to be performed, when these need to be performed and what are the dependencies
- Preclinical development experience is necessary, whereas clinical development experience is desirable but not essential
- Ability to work under pressure, manage projects and deliver to defined timelines ensuring that all studies and documents are completed to support clinical trial applications
- Evidence of creative thinking and problem solving, confidently applying novel strategies to move projects to important decision points quickly and efficiently
- Excellent oral and written communication skills e.g. can tailor the complexity of communications as and when required, whilst maintaining clarity of communication
BenevolentAI (AMS: BAI) is a leading, clinical-stage AI-enabled drug discovery company listed on the Euronext Amsterdam stock exchange. Through the combined capabilities of its AI platform, scientific expertise, and wet-lab facilities, BenevolentAI is well-positioned to deliver novel drug candidates with a higher probability of clinical success than those developed using traditional methods. BenevolentAI has a consistently proven track record of scientifically validated discoveries. The BenevolentAI Platform™ powers a growing in-house pipeline of over 20 disease programmes, spanning from target discovery to clinical studies, and it maintains successful collaborations with AstraZeneca, as well as leading research and charitable institutions. BenevolentAI is headquartered in London, with a research facility in Cambridge (UK) and a further office in New York.
We share a passion for being part of a mission that matters, and we are always looking for curious and collaborative people who share our values and want to be part of our journey. If that sounds like a fit for you, hit the ‘apply’ button and join us.