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Lead Computational Biologist
3 months ago
Position: Lead Computational Biologist / Bioinformatician Location: The Milner Therapeutics Institute, Cambridge, UK (hybrid position, at most 50% remote)
Type: Full-Time
As the shared risk factor of the deadliest diseases, the process of ageing forms the core of our focus. As a fast-paced biotech startup, we are looking for a Lead Computational Biologist / Bioinformatician who shares our vision of a future where health is our default state and is excited about the opportunity to make a significant impact on our mission.
The Lead Computational Biologist / Bioinformatician will play a pivotal role as the first internal full-time bioinformatics role, inheriting existing infrastructure and collaborating with ongoing bioinformatic contractors. The role will primarily be research-focused, including hands-on analysis of all omic data produced by clock.In addition to research, the role will also include data management duties and collaboration with teams in other locations and time zones. 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.
Work with bench scientists by guiding experimental workflows and quantitative measurement to ensure statistical rigour and help build data visualisations.
PhD in relevant biology area, such as computational or system biology, or cell biology with exposure to bioinformatics.
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 ageing biology.
Experience working in HPC or cloud environments, familiarity with ML tools and packages and working with databases (preferred MongoDB).
bio 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. bio is an equal opportunity employer and we do not discriminate against any employee or applicant for employment based on race, colour, religion, sex, national origin, disability, or age. We are committed to promoting diversity, equity, and inclusion in the workplace and hiring practices, therefore only partner with business that promote DEI.
