Bioinformatician II - Windreich Department of AI & Human Health
Tasks
- Apply machine learning for prediction clustering and risk modeling
- Build QC pipelines
- Build reproducible analysis workflows
- Collaborate with consortia on data harmonization
- Conduct GWAS
- Construct PRS
- Curate phenotypes
- Develop scalable genomic analysis pipelines
- Maintain documentation and reproducibility standards
- Maintain version control with Git
- Manage and analyze EHR linked clinical data
- Perform fine mapping
- Perform integrative genomics
- Perform large scale genetic analyses
- Perform proteomics analyses
- Prepare visualizations and research reports
- Run rare variant association analyses
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | BOLT-LMM | Bcftools | Bioconductor | Cloud Computing | DNAnexus | Data harmonization | EHR | ETL | Fine-mapping | GCTA | GWAS | Git | GitHub | HPC | Jupyter | JupyterLab | KING | LDSC | LLM | LLMs | Linux Shell | Machine Learning | Multi-Omics | Multi-Omics Integration | Nextflow | Omics integration | PQTL | PRs | Plink | Proteomics | Python | QC pipelines | R | REGENIE | RStudio | Rare Variant Association | SAIGE | Samtools | Unix/Linux | Unix/Linux Shell | Vcftools | WDL | Workflow automation
Education
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