Senior / Principal Scientist, Statistical Genetics
Tasks
- Build and scale local human genetics workflows
- Co define statistical genetics strategy for early discovery
- Communicate results to senior stakeholders
- Conduct GWAS WGS WES and fine mapping analyses
- Design and execute population genetics analyses
- Embed genetic evidence into target prioritization
- Integrate human genetics with multi omics datasets
- Lead end to end analytical strategy and scientific leadership
- Perform Mendelian randomization and causal inference
- Support secure reproducible compliant data workflows
Perks/Benefits
Skills/Tech-stack
Causal Inference | Cell analysis | Colocalization | Data integration | Fine-mapping | GWAS | Imaging data | Machine Learning | Mendelian randomization | Multi-Omics | Polygenic risk | Population genomics | Proteomics | Python | QTL integration | R | Rare variant analysis | Single Cell Analysis | Single-cell | Spatial transcriptomics | Statistical genetics | Transcriptomics | Variant analysis | WES | WGS
Education
Roles
Principal | Principal Scientist | Scientist | Senior Scientist
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