Senior Scientist

Overview

In this Senior Scientist role, you will drive innovative approaches to develop Polygenic Risk Scores from genomic, real-world, and clinical data. You’ll lead transformative projects within a cross-functional team, communicating discoveries and shaping team direction. Your work will prioritise therapeutic targets using advanced statistical genetics to uncover new treatment possibilities. This position offers impact at the intersection of genomics and predictive healthcare, with hybrid work in London or Oxford.

Pay / Benefits

• Competitive salary
• Clear career path
• Continuous learning with courses and library
• 25 days annual leave plus bank holidays and year-end shutdown
• Market-leading pension scheme
• Private health insurance for you and family

Responsibilities

• Develop cutting-edge methods to craft Polygenic Risk Scores from integrated data sources
• Apply advanced statistical techniques to prioritise therapeutics targets
• Lead transformative projects across the team and communicate findings
• Collaborate with stakeholders and present results to customers
• Unravel complex genomic data to uncover key insights and drive decision making

Key requirements

• Experience in foundational genetic association analyses (e.g., GWAS; PRS)
• Strong competency in statistical programming (R, Python) for large-scale genomic data analysis
• Experience in data mining and/or management of large datasets
• Confidence engaging with stakeholders and delivering presentations to customers

• Stakeholder engagement
• Collaborative mindset
• Effective communication
• GWAS
• PRS development
• statistical genetics

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