Principal Scientist, Oncology Data Science (Translational Science)
Upper Providence, United States
R
USD 121K-202K Senior-level Full Time
Tasks
- Apply statistical and causal inference techniques
- Bridge functional genomics spatial omics and real world data
- Build ML applications for tumor molecular state prediction
- Develop clean reproducible tooling for cross team frameworks
- Extract interpretable model features
- Generate testable oncological hypotheses
- Integrate and validate multimodal foundation models
- Link insights to clinical pipeline decisions
- Maintain state of the art knowledge and publish research
- Own ML pipeline and develop advanced architectures
- Perform counterfactual validation of ML models
Perks/Benefits
- Health insurance
- Insurance benefits
- Paid Holidays
- Paid caregiver leave
- Paid medical leave
- Paid parental leave
- Retirement benefits
- Vacation
Skills/Tech-stack
CI/CD | CRISPR | Causal Inference | Cell analysis | Counterfactual Inference | Deep learning | Functional Genomics | Genetic screens | Genomics | Histopathology | Machine Learning | Multimodal Learning | Perturb-seq | PyTorch | Python | Single Cell Analysis | Single-cell | Software Engineering | Spatial omics | Statistical modeling | Version control
Education
Regions
Countries
States
Cities
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