Senior Expert Data Scientist, Human Genetics
Core
Apply human genetics, statistical genetics, and genomic data science to support therapeutic target discovery and patient selection strategies for cardiovascular and metabolic diseases.
Role type
Senior IC computational scientist (human genetics)
Builds
Actionable insights from human genetic and genomic data for drug discovery and precision medicine
Domain
Biopharma / Human Genetics / Cardiovascular and Metabolic Diseases
Deliverable
production ML models
Required skills
Human genetics, Statistical genetics, Genomic data analysis, Variant annotation, Association analysis, Python, R, Linux/Unix, Git, Large-scale data handling
Preferred skills
Postdoctoral research experience, Target discovery/validation experience, Polygenic risk scores, Mendelian randomization
Technologies
Python, R, Linux, Git, SQL
Responsibilities
Analyze whole exome/genome sequencing data to identify genetic variants and pathways; Develop statistical genetics methods for variant annotation and causal inference; Integrate genomic data with transcriptomic, proteomic, and clinical datasets; Collaborate on patient selection and stratification strategies; Develop reproducible analytical workflows; Communicate results via reports and manuscripts.
Seniority
Senior, hands-on IC
