Director, Data Strategy & Partnerships
Role Overview
Genomics combines large-scale genetic and health data with proprietary analytics to accelerate drug discovery and predictive, preventative healthcare.
The company uses AI-enabled genetic analytics and polygenic risk scores to support drug development and chronic-disease prevention.
Key Skills for This Role
Full Job Posting
Location and working model
- Role location is Oxford or London.
- Hybrid working is available from the London or Oxford office.
Mission
Genomics combines large-scale genetic and health data with proprietary analytics to accelerate drug discovery and predictive, preventative healthcare.
The company uses AI-enabled genetic analytics and polygenic risk scores to support drug development and chronic-disease prevention.
A Day in the Life
- Scan competitive and scientific landscapes for data modalities, cohorts, and therapeutic-area coverage.
- Turn landscape findings into a prioritized roadmap for Data and Research Engineering teams.
- Own the data sourcing and partnerships framework across tiers.
- Negotiate data access and commercial terms with biobanks, health-data networks, and TechBios.
- Build business cases for data investments and gain buy-in across technology, legal, business development, and commercial teams.
- Maintain strategic external and scientific-community relationships, including workshops or consortia.
- Work with engineering leadership to operationalize new data sources in the platform for consulting and life-science partners.
Who You Are
- Designed and executed a genetic or genomic data strategy at biobank or population-cohort scale.
- Negotiated data access, commercial terms, and complex multi-party data sharing agreements.
- Have strong statistical and population genetics knowledge, including GWAS and post-GWAS methods.
- Can assess the scientific and commercial value of datasets and partnerships.
- Have won senior executive buy-in across engineering, legal, commercial, and scientific leadership.
- Have led or contributed to multi-institutional collaborations or consortia.
- Can explain complex data strategy to technical and non-technical audiences.
- Hold a PhD or equivalent industry experience in a relevant quantitative discipline.
Compensation and growth
- Salary is externally benchmarked annually.
- The company offers a progression framework, external courses, and learning and development materials.
Wellbeing and time off
- Benefits include 25 days of annual leave, bank holidays, and a three-day year-end shutdown.
- Benefits include pension, private health insurance, critical illness cover, life assurance, and enhanced paid family leave.
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