Scientist
Genomics · Oxford, England ·
Apply on partner site
You apply on the advertiser's own site — nothing is stored here.
Overview
In this Scientist role, you will drive innovative genomic analyses to shape our polygenic risk score platform and therapeutic target prioritization. You’ll work within a cross-functional GenomicsScience team to translate complex data into actionable insights that advance predictive healthcare. You’ll lead transformative projects and communicate discoveries clearly to stakeholders and customers. This position offers the chance to shape cutting-edge methods and contribute to a mission that aims to help people live longer, healthier lives through genomics.
Pay / Benefits
- Competitive salary
- Clear career path
- Continuous learning with L&D resources
- 25 days annual leave plus holidays plus year-end shutdown
- Market-leading pension scheme
- Private health insurance for you and family
Responsibilities
- Drive innovation and collaboration to shape team direction
- Lead transformative projects across the team
- Develop cutting-edge methods to craft Polygenic Risk Scores from genomic, real-world, and clinical data
- Apply advanced statistical techniques to prioritise therapeutic targets
- Unravel complex genomic data and extract key insights while collaborating with the team
- Communicate discoveries effectively to stakeholders and customers
Key requirements
- Foundational genetic association analyses (e.g., GWAS; PRS) experience
- Strong statistical programming skills (R, Python) for large-scale genomic data analysis
- Experience in data mining or management of large datasets
- Stakeholder engagement and presenting to customers
- Stakeholder engagement
- Effective communication
- Collaborative mindset
- GWAS
- Polygenic Risk Scores (PRS)
- R
Apply on partner site
Listing supplied by one of our partner job boards. Last confirmed: 2 days ago.