Longevity Industry Jobs

The Principal Scientist will play a pivotal role as the first internal full-time bioinformatics
role, inheriting some existing infrastructure and potentially collaborating with
contractors. The role will primarily be research-focused, analysing all omic data
produced by clock.bio and contextualising it with respect to datasets from external
studies.

In addition to research, the role will also include data management duties and
collaboration with teams in other locations and time zones. Given the startup nature
of clock.bio, there will be opportunities for the individual to wear multiple hats and
contribute to various aspects of the business.

Responsibilities

• Analyse high dimension NGS data including both bulk and single-cell RNA-seq
  and ATAC-seq data from pooled CRISPR screens.
• Provide input to the computational biology strategy and take responsibility for its
  day-to-day execution working with cross-functional partners and leadership teams.
• Build data collection, data annotation, and data cleaning workflows, and compile
  datasets for specific projects and downstream in-depth data analyses.
• Assess new model systems of aging and rejuvenation and provide insights into
  their potential application in our mission.
• Work with bench scientists by guiding experimental workflows and quantitative
  measurement to ensure statistical rigour and help build data visualisations.

Qualifications

• PhD in bioinformatics, computational biology, system biology or a related field.
• Minimum of 6 years of post-PhD life sciences research experience, of which at
  least 5 years should have been spent doing bioinformatics, preferably in biotech
  or pharma.
• Proficiency in R or Python, and familiarity with workflow management tools such
  as snakemake or Nextflow. Basic proficiency with databases is expected.
• Experience with analysis of bulk and single cell RNA-seq data and preferably with
  pooled CRISPR screens, ATAC-seq analysis, DNA methylation age clocks, data
  from in vitro models, and aging biology.
• Experience working in HPC or cloud environments, familiarity with ML tools
  and packages and working with databases (preferred MongoDB).
• Ability to communicate complex topics to non-bioinformaticians.
• Excellent attention to detail, the ability to work independently, and strong
  communication skills. 

What we offer

Join our dynamic team at clock.bio with a competitive salary range of £70,000 -
£95,000 per year, based on experience. Benefit from our salary sacrifice pension
scheme, Life cover, Sickness benefit, and Cyclescheme. Thrive in our startup
environment where professional growth, continuous learning, and making a significant
impact on our mission await you. We value diversity, teamwork, and excellence.
Experience a supportive workplace that fosters innovation and collaboration. Apply
now to embark on an exciting journey with us, contributing to our shared success.

How to apply

Email a cover letter and your CV to careers@clock.bio and include ‘Principal Scientist,
Computational Biology’ in Subject.