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
As a Senior 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.
Who You Are
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.
Your Package
We are committed to providing a transparent, supportive, and rewarding work environment.
Compensation & GrowthCompetitive 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.
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.
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 in performing foundational genetic association analyses (e.g., GWAS; PRS)
- Strong competency in statistical programming (e.g., R, Python)
- Experience in data mining and/or management of large datasets.
- Confident in engaging with stakeholders and delivering presentations to customers.
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).
