Senior Scientist, Statistical Genetics
Core
Apply cutting-edge statistical genetics methods to analyze millions of individuals' genetic data, driving discoveries that inform RNAi therapeutics pipelines.
Role type
Senior Scientist, Statistical Genetics
Builds
Novel therapeutic targets and hypotheses for RNAi medicines
Domain
Biotechnology / Human Genetics / Statistical Genomics
Deliverable
production ML models | research | client delivery
Required skills
Statistical genetics (GWAS, RVAS), biobank-scale data analysis, meta-analysis, post-GWAS methods (fine-mapping, colocalization, Mendelian randomization), variant-to-gene prioritization, phenotype curation, Python, R, Linux
Preferred skills
Multi-omics integration, polygenic modeling, rare variant aggregation, AI/ML-enabled prioritization
Technologies
REGENIE, PLINK, METAL, RAREMETAL, REMETA
Responsibilities
Perform common and rare variant association studies on biobank-scale data; Lead cross-biobank meta-analyses; Implement post-GWAS methods to nominate causal genes; Drive methodological innovation in statistical genetics; Establish best practices for data organization and results dissemination; Enhance external visibility through publications and collaborations
Seniority
Senior, hands-on IC
