Genomics Scientist: AI-Driven PRS for Drug Discovery

Genomics; Greater London; Hybrid; GBP 40,000 - 60,000; Full time

Benefits offered by this job

25 days annual leave

Market-leading pension scheme

Comprehensive private health insurance

Enhanced paid family leave

Hybrid working

Cycle-to-Work scheme

Job summary

Genomics, located in Greater London, is seeking a Scientist to drive innovation in drug discovery through advanced genomic analytics. The role involves creating Polygenic Risk Scores and collaborating across teams while leveraging strong statistical programming skills (R, Python). You'll need experience in genetic analyses and data management. The company offers 25 days of annual leave, a market-leading pension scheme, and a flexible hybrid work environment. Join us if you're excited about using genomics to impact health positively.

Qualifications

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

Responsibilities

• Drive innovation and collaboration through groundbreaking scientific approaches.
• Communicate discoveries effectively and lead transformative projects.
• Craft Polygenic Risk Scores using genomic and clinical data.
• Utilise advanced statistical techniques to prioritise therapeutic targets.

Skills

Genetic association analyses

Statistical programming (R, Python)

Data mining and management

Engaging with stakeholders

Job description

Genomics, located in Greater London, is seeking a Scientist to drive innovation in drug discovery through advanced genomic analytics. The role involves creating Polygenic Risk Scores and collaborating across teams while leveraging strong statistical programming skills (R, Python). You'll need experience in genetic analyses and data management. The company offers 25 days of annual leave, a market-leading pension scheme, and a flexible hybrid work environment. Join us if you're excited about using genomics to impact health positively.