Principal Scientist, Statistical Genetics
Core
Lead implementation of statistical genetics approaches to identify and validate drug target candidates for cardiovascular diseases using large-scale human genetic data.
Role type
Principal Scientist, Statistical Genetics
Builds
Therapeutic hypotheses and drug target candidates for cardiovascular disease programs
Domain
Biopharmaceuticals / Cardiovascular Disease / Statistical Genetics
Deliverable
production ML models
Required skills
Statistical genetics methods (GWAS, fine-mapping, Mendelian Randomization, polygenic modeling), Causal inference, Drug target discovery, Cross-biobank analysis, Multi-modal data integration, Scientific communication
Preferred skills
PhD in statistical genetics or related field, Experience applying genetics to drug discovery, Functional genomics expertise, Advanced programming in R or Python
Technologies
R, Python, GWAS, UK Biobank, FinnGen
Responsibilities
Design and perform cross-biobank analyses to identify human genetic risk factors; Design and perform integrative analyses to infer causal mechanisms; Leverage disease-specific multi-modal datasets; Coordinate with stakeholders to advance novel drug targets; Communicate findings and recommend follow-up actions
Seniority
Principal, hands-on IC
