Senior Data Scientist
Tasks
- Apply Bayesian inference
- Build PBPK models
- Build PKPD models
- Build TMDD models
- Calibrate models
- Communicate uncertainty and recommendations
- Conduct sensitivity analysis
- Conduct uncertainty quantification
- Create reproducible workflows
- Develop mechanistic pharmacometrics models
- Document modeling assumptions and outputs
- Estimate model parameters
- Perform exposure response modeling
- Run translational simulations
- Support model informed drug design
Perks/Benefits
- N/A
Skills/Tech-stack
Bayesian Inference | Cross Species Extrapolation | Exposure-response | Exposure-response modeling | MATLAB | MRGSolve | Machine Learning | Markov Chain | Markov chain Monte Carlo | Model calibration | Monolix | Monte Carlo | Nonmem | PBPK | Parameter estimation | Pharmacodynamics | Pharmacokinetics | Pymc | Python | Quantitative systems | Quantitative systems pharmacology | R | Response Modeling | Sensitivity Analysis | Simbiology | Stan | Statistical modeling | Systems pharmacology | Tmdd | Translational Scaling | Uncertainty Quantification | Version control | Workflow automation
Education
Roles
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