Quick Summary
Location: Oxford or London (Hybrid) The Mission: Why We Exist Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare.
Experience in performing foundational genetic association analyses (e.g., GWAS; PRS) Strong competency in statistical programming (e.g., R, Python) sufficient to enable large-scale genomic data analysis Experience in data mining and/or management of…
Genomics is a science-led transatlantic TechBio combining large-scale genetic and health data with proprietary analytics to accelerate drug discovery and advance predictive, preventative healthcare. We are united by a single vision to help people live longer healthier lives, using the power of genomics.
Genomics aims to help people live longer, healthier lives in two ways: super-charging drug discovery and development for novel treatments with our AI-enabled advanced genetic analytics platform, and by helping people understand their personal risk of common chronic diseases through polygenic risk scores - giving doctors and health systems the chance to get the right people into the right prevention, screening and treatment programmes at the right time.
As a Scientist, you'll drive innovation and collaboration, devising groundbreaking scientific approaches that help to shape team direction. You’ll communicate your discoveries effectively, and be a spearhead in leading transformative projects across the team.
You’ll forge cutting-edge methods to craft Polygenic Risk Scores by harnessing genomic, real-world and clinical data. Using a strategic approach, you will utilise advanced statistical techniques to prioritise therapeutics targets to unveil new treatment possibilities.
Success here demands a robust grasp of statistical human genetics applied inventively. You'll excel in unraveling complex genomic data and possess a knack for uncovering key insights, whilst working collectively with your highly skilled team.
Experience in performing foundational genetic association analyses (e.g., GWAS; PRS)
Strong competency in statistical programming (e.g., R, Python) sufficient to enable large-scale genomic data analysis
Experience in data mining and/or management of large datasets.
Confident in engaging with a variety of stakeholders, contributing and supporting in the delivery of presentations to customers.
We are committed to providing a transparent, supportive, and rewarding work environment.
What We Offer
~1 min readWhat We Offer
~1 min readIf this opportunity excites you, apply now!
We are dedicated to creating a diverse environment and are proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
Genomics politely requests no contact from recruitment agencies. We do not accept speculative CVs from recruitment agencies nor accept the fees associated with them.
Location & Eligibility
Listing Details
- Posted
- April 24, 2026
- First seen
- May 6, 2026
- Last seen
- May 8, 2026
Posting Health
- Days active
- 0
- Repost count
- 0
- Trust Level
- 21%
- Scored at
- May 6, 2026
Signal breakdown
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