Director, Data Strategy & Partnerships

Posted 8 Days Ago
Be an Early Applicant
2 Locations
Hybrid
Expert/Leader
Biotech
The Role
Leads genomic data strategy, sourcing, and external partnerships across biobanks, health data networks, and TechBios. Evaluates competitive and scientific landscapes, prioritizes data roadmaps, negotiates complex data-sharing agreements, builds investment cases, and secures executive support. Partners with engineering teams to operationalize data sources and supports cross-institutional scientific collaborations. Requires expertise in population and statistical genetics, including GWAS and post-GWAS methods, plus a PhD or equivalent experience.
Summary Generated by Built In

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. 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.

A Day in the Life
  • Scan the competitive and scientific landscape – new data modalities, cohorts and therapeutic-area coverage – and translate what you find into a prioritised roadmap for our Data and Research Engineering teams.

  • Own our data sourcing and partnerships framework across tiers, negotiating access and commercial terms with biobanks, health data networks and TechBios.

  • Build the business case for new data investments and secure buy-in from senior stakeholders across tech, legal, business development and commercial teams.

  • Build and maintain relationships with strategic external partners and the wider scientific community – including leading cross-institutional workshops or consortia.

  • Work with engineering leadership to operationalise new data sources into the platform, making them actionable for our consulting teams and their Life Science partners.

Who You Are
  • You've designed and executed a genetic/genomic data strategy at biobank or population-cohort scale, and know how to spot a gap in a dataset before anyone else does.

  • You've negotiated data access and commercial terms with academic, government, non-profit and industry partners, including complex, multi-party data sharing agreements.

  • You have a strong grounding in statistical/population genetics (GWAS and post-GWAS methods) – enough to judge the scientific and commercial value of a dataset or partnership without needing to lean on others.

  • You're a credible strategic partner to engineering, legal, commercial and scientific leadership, with a track record of winning senior executive buy-in.

  • You've led or contributed to multi-institutional collaborations or consortia, and can explain complex data strategy clearly to technical and non-technical audiences alike.

  • You hold a PhD (or equivalent industry experience) in genetics, genomics, statistical genetics, epidemiology or a related quantitative discipline.

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
  • 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.

Work Environment & Culture
  • Flexible Working: Hybrid Working (e.g., From our London, Oxford 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.

  • 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.

Skills Required

  • Experience designing and executing genetic or genomic data strategy at biobank or population-cohort scale
  • Experience negotiating data access and commercial terms with academic, government, nonprofit, and industry partners
  • Experience with complex, multi-party data-sharing agreements
  • Strong grounding in statistical and population genetics, including GWAS and post-GWAS methods
  • Ability to assess the scientific and commercial value of datasets and partnerships
  • Experience partnering strategically with engineering, legal, commercial, and scientific leadership
  • Track record of securing senior executive buy-in
  • Experience leading or contributing to multi-institutional collaborations or consortia
  • Ability to communicate complex data strategy to technical and non-technical audiences
  • PhD or equivalent industry experience in genetics, genomics, statistical genetics, epidemiology, or a related quantitative discipline
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The Company
HQ: Oxford
164 Employees
Year Founded: 2014

What We Do

We are a pioneering healthcare company that aims to transform health through the power of genomics. The company was formed in 2014 by four world-leading statistical and human geneticists at the University of Oxford, including Professor Sir Peter Donnelly and Professor Gil McVean. We use large-scale genetic information to realise preventative medicine and improve drug discovery. We're a world-leader in genomic prevention: a paradigm-changing approach to sustainable healthcare which for the first time allows reliable, personalised estimates of risk for all the common diseases and cancers, well ahead of disease manifestation, allowing accurate and early interventions and tailored screening. Our proprietary algorithms and databases offer something no competitor can: the ability to accurately link minute variation across the entire genome to changes in thousands of biological measurements and disease outcomes, to generate population-level insights for healthcare systems, individual-level insights for clinicians about the risk of common diseases, and new understanding of disease processes. In August 2018, we announced a multi-year collaboration with Vertex to use human genetics and data science to advance discovery of precision medicines. We also have several pilot programmes in development within UK and US healthcare systems. Our team is a multi-disciplinary group focused on finding powerful and creative solutions for bringing subject-leading science to as wide an audience as possible, and, in doing so, offer the chance of transforming lives around the world. The workforce is highly qualified and consists of over 150 people, including genomic scientists, computational biologists, statisticians, software engineers, product developers, data scientists and commercial strategists. We are headquartered in Oxford, with offices in Cambridge (UK), London (UK), and Boston (US).

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