Genomics Scientist: Polygenic Risk Analytics (Hybrid)

Genomics; Oxford, Greater London; Hybrid; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Pension scheme

Private health insurance

Flexible hybrid work

Job summary

Genomics is a science-led biotech company focused on deciphering genetic and health data to accelerate drug discovery. As a Scientist, you will devise innovative statistical approaches to craft Polygenic Risk Scores, working with genomic, real-world and clinical data to uncover new treatment possibilities.

You will lead cross-functional collaborations, communicate discoveries effectively, and prioritize therapeutics targets using advanced statistical methods in a hybrid UK-based environment with

Qualifications

• Experience performing foundational genetic association analyses (GWAS/PRS).
• Strong statistical programming skills (R, Python) for large-scale genomic data.
• Experience data mining and managing large datasets.
• Ability to communicate findings to diverse stakeholders.

Responsibilities

• Lead development of Polygenic Risk Scores using genomic and clinical data.
• Apply advanced statistical techniques to prioritize therapeutic targets.
• Collaborate with cross-functional teams to drive research directions.

Skills

Genetic association analyses

Statistical programming

Data mining / large datasets

Stakeholder communication

Tools

R

Python

Job description

Genomics is a science-led biotech company focused on deciphering genetic and health data to accelerate drug discovery. As a Scientist, you will devise innovative statistical approaches to craft Polygenic Risk Scores, working with genomic, real-world and clinical data to uncover new treatment possibilities.

You will lead cross-functional collaborations, communicate discoveries effectively, and prioritize therapeutics targets using advanced statistical methods in a hybrid UK-based environment with