Senior Scientist, Statistical Genetics
Tasks
- Apply AI ML prioritization
- Build polygenic models
- Collaborate with cross-functional teams
- Conduct rare variant aggregation
- Drive multi omics integration
- Establish data organization best practices
- Implement post GWAS causal gene methods
- Lead cross biobank meta analyses
- Manage knowledge management and results dissemination
- Perform variant association studies
- Publish research and present at conferences
Perks/Benefits
- 401k match
- Company recharge breaks
- Disability insurance
- Family Resources and Leave
- Flexible spending accounts
- Health savings accounts
- Holidays
- Life insurance
- Lifestyle Reimbursement Program
- Paid time off
- Wellbeing medical dental vision
- Wellness days
Skills/Tech-stack
All of Us | All of Us Researcher Workbench | Burden Tests | Colocalization | DNAnexus | Fine-mapping | Functional annotation | GWAS | Imputation | Linux | Mendelian randomization | Metal | Phenotype harmonization | Plink | Python | Quality Control | R | RAREMETAL | REGENIE | REMETA | RVAS | SKAT | Single Variant Testing | Statistical genetics | Terra | Variant testing | WES | WGS
Education
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