Location: Hybrid from our RTP office

A Day in the Life

At Genomics, we tackle major scientific challenges in harnessing genomic data to improve human health.

This role is part of the Life Sciences team, working on a range of challenges spanning the therapeutic development cycle - including discovering and validating therapeutic targets and developing patient stratification strategies. The Scientist is an early-career member of the team, who will thrive in a highly collaborative team environment. With the team's support, you will develop and execute innovative and rigorous scientific approaches, and will effectively communicate findings to both internal and external stakeholders.

For example, a Scientist may:

• Generate novel therapeutic hypothesis for diseases with unmet need, mining the in-house data resources using statistical approaches to understand the causal pathophysiology of disease, identify and triage potential targets with genetic evidence, and build a rich understanding of the cell types, cellular function, tissue-level characteristics, patient populations and biomarkers needed to support a development program.
• Apply and optimise risk tools for patient stratification that combine genetic information (through polygenic risk scores) with conventional risk factors, to find those individuals most at risk of disease onset or progression and those most likely to benefit from particular therapies.

To be successful in this role, you will: bring a strong foundation in the application of statistical and computational techniques in biomedical science that you can apply in innovative ways, thrive on analysing vast and diverse sources of 'omic data using leading statistical or AI/ML approaches to make meaningful insights into complex problems, and take pride in effectively sharing your findings with others.

Who You Are

Must have, solid foundations in:

• Statistics (modelling, regression)
• Genetics and molecular biology
• Statistical programming (e.g., Python or R)

Preferred:

• Experience using a broad array of statistical genetics approaches (e.g., GWAS, colocalization, fine-mapping, Mendelian randomization, polygenic risk scores)
• Experience defining phenotypes from electronic health records.
• Knowledge of Bayesian inference, high dimensional statistics, causal inference.
• Experience with software engineering practices (version control [Git & GitHub], testing, documentation, agentic coding, containerisation)
• Experience building and running reproducible pipelines e.g., using WDL, Snakemake, or NextFlow.
• Experience using cloud computing and trusted research environments e.g. DNAnexus or Verily Workbench.
• Experience with methods development within statistical genetics

Your Package

We are committed to providing a transparent, supportive, and rewarding work environment.
Compensation & Growth

• Competitive Salary: Salaries are externally benchmarked annually to ensure top-of-market compensation.
• Clear Career Path: A straightforward, open progression framework means you'll always know the path to promotion and how to achieve your next career goal.
• Continuous Learning: Including external courses and a wide library of L&D materials, because your growth is our success.

Wellbeing & Time Off

• PTO: 25 days vacation, plus 8 federal holidays, plus an extra 3-day company-wide shutdown at year-end.
• Full Coverage: 401k, Comprehensive Health, Dental, and Vision plans, Health Savings Account (HSA), Life/AD&D, and Disability coverage.

Work Environment & Culture

• Flexible Working: Hybrid Working.(e.g. From our RTP Office )
• Truly Inclusive Time Off: Our 'Bank Your Bank Holiday' program allows you to exchange public holidays for dates that hold personal or cultural significance to you.
• Vibrant Social Culture: From regular Town Halls and team picnics to organised sports events, our social committee ensures frequent opportunities to connect and celebrate.

Ready to Build the Future?

If this opportunity excites you, apply now!

Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.