Company: Genomics
Location: London
Posted: April 5th, 2026
Location: London or Oxford
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. 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 the Lead Data Manager, you are the engine behind our data ecosystem. You will lead the identification, acquisition, and curation of high‑quality data for our SaaS platform, Mystra. You will bridge Science and Engineering, serving as the Product Owner for data management tooling, ensuring our infrastructure scales alongside our genomic strategy. You aren't just managing data; you are governing the highly personal information that drives scientific discovery.
Data Acquisition: You will research and secure new genomic data opportunities that align with our business needs.
Technical Execution: You might write a Python script to pull data from a GWAS or integrate metadata from disparate systems into our cloud architecture.
Governance & Privacy: You will act as the "gatekeeper," evaluating complex datasets for licensing issues and ensuring privacy standards (TREs) are met before they reach our customers.
Cross‑Functional Collaboration: You’ll partner with stakeholders to bridge the gap between to ensure seamless ingestion.
You have proven experience with global bodies such as UK Biobank, DB GAP, or EGA, and a deep understanding of data modelling and governance.
You possess an "investigatory" mindset, able to look at a dataset and identify potential privacy or licensing roadblocks before they become issues.
You are highly skilled in Python and understand the nuances of compute architecture and cloud systems.
You hold a PhD in a genomic discipline (or equivalent industry experience) and can "speak the language" of Stat Gen and Bioinformatics.
Your Package
We are committed to providing a transparent, supportive, and rewarding work environment.
Competitive Reward: Salaries are externally benchmarked annually to ensure market‑aligned 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.
Holiday: 25 days annual leave, plus bank holidays, plus an extra 3‑day company‑wide shutdown at year‑end.
Financial & Health Security: Robust benefits including a market‑leading pension scheme, comprehensive private health insurance for you and your family with NO excess, critical illness, and life assurance.
Enhanced Leave: Enhanced paid family leave to support all new parents.
Hybrid Working
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.
Green Commute: Cycle‑to‑Work scheme and convenient office locations near major transport hubs.
Ready to Build the Future?
If 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.
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