Translational Data Scientist, Multi-Omics & Target Biology
US: Boston MA Lilly Seaport Innovation Center, United States
USD 193K-338K Entry-level Full Time
Tasks
- Analyze proteomics and transcriptomics data
- Build reusable analysis workflows and visualizations
- Build target conviction narratives
- Collaborate with bench translational and clinical scientists
- Conduct GWAS based analyses
- Develop mechanistic hypotheses and test datasets
- Integrate multi omics evidence
- Map eQTL and pQTL
- Perform target due diligence analyses
- Present findings to leadership and cross functional audiences
- Run colocalization and Mendelian randomization
- Select translational biomarkers and pharmacodynamic markers
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agentic Workflows | Azure | BAM | BED | Bcftools | Biomedical Ontologies | Bulk RNA sequencing | Causal Inference | Cell Integration | Cell Type Deconvolution | Colocalization | Command Line | Confounding adjustment | EQTL | Epigenomics | Fine-mapping | GCP | GTF | GWAS | Git | Graph Databases | LLM APIs | Linux | Mendelian randomization | Multiple Testing Correction | Multiple testing | Olink | PQTL | PheWAS | Plink | Proteomics | Python | R | REGENIE | RNA Sequencing | Regression Modeling | Relational databases | Single Cell Integration | Single-cell | Single-cell RNA-sequencing | Single-cell Transcriptomics | SomaScan | Transcriptomics | VCF
Education
Regions
Countries
States
Cities
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