Senior Computational Biologist – Target ID
New York, New York; Salt Lake City, Utah
USD 151K-230K Senior-level Full Time
Tasks
- Apply survival analysis and causal inference modeling
- Build refine and guide agentic target discovery tools
- Communicate biological rationale and data analyses to stakeholders
- Establish target to patient connections and define patient populations
- Integrate transcriptomics population genetics EHR and multi omic data
- Propose and validate novel therapeutic targets
- Translate platform findings into disease relevant applications
Perks/Benefits
Skills/Tech-stack
Agentic Workflows | Causal Inference | Cloud Computing | Data integration | EHR | GWAS | Knowledge graphs | Language Models | Large Language Models | Machine Learning | Multi-omic | Multi-omic data | Multi-omic data integration | Population genetics | Python | R | RNA Sequencing | Single-cell | Single-cell RNA-sequencing | Statistical modeling | Survival analysis | Transcriptomics
Education
Regions
Countries
States
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