Senior – Research Scientist – Statistical Genetics

Senior – Research Scientist – Statistical Genetics

Requirements

• PhD in human statistical genetics or related discipline with 2+ years of postgraduate experience and a robust publication record.
• Experience with large-scale human genetic association analyses (WGS, WES, GWAS, PRS, etc.) using biobanks or other large datasets.
• Strong scientific programming skills (Python strongly preferred) and experience with high-throughput or cloud compute (especially GCP).
• Solid understanding of human genetics and basic understanding of human biology.
• Critical thinking, intellectual curiosity and commitment to innovation.
• Excellent communication and interpersonal skills.
• Excellent documentation of workflows and results.

Responsibilities

• Perform advanced analyses, including GWAS, PheWAS, rare variant burden testing, Mendelian randomization. Apply and improve post-hoc analysis methods to investigate and prioritize potential targets.
• Develop robust methods for integrating AI-powered variant effect predictors with traditional analysis techniques.
• Create robust containerized software workflows and execute them at scale on Google Cloud Platform (GCP) infrastructure.
• Participate in cross-functional projects to improve and apply genomic AI models for target discovery and patient stratification.
• Translate findings into biological insights that inform drug target and patient prioritization.
• Actively participate in code review and testing (your own and others from within the team).

Preferred Qualifications

• Post-graduate experience in either academia or industry.
• Direct experience with UK Biobank.
• Familiarity with variant effect predictors, and machine learning or AI models in the context of target discovery.
• Familiarity with systems biology techniques and/or single-cell sequencing data.
• Experience integrating over multi-modal data to derive insights with, for example, large language models.