Senior Scientist, Computational Materials Solutions
Tasks
- Apply molecular simulation methods
- Build reusable computational workflows
- Calibrate models
- Communicate model assumptions and limitations
- Conduct sensitivity analysis
- Develop computational materials models
- Document methods and results
- Generate hypotheses from models
- Integrate simulation data with experimental results
- Optimize process and materials parameters
- Perform predictive simulations for materials design
- Prioritize experiments using model recommendations
- Quantify model uncertainty
- Run statistical analysis of structure property relationships
- Support design of experiments
- Verify and validate models
Perks/Benefits
- 401k match
- Education assistance
- Flexible work schedule
- Health, dental, vision insurance
- Paid Holidays
- Paid time off
- Remote work
Skills/Tech-stack
Bayesian Methods | Computational Chemistry | Computational Materials | Computational materials science | Data Management | Design of Experiments | Machine Learning | Materials Science | Model Validation | Model verification | Molecular Modeling | NumPy | Optimization | Pandas | PyTorch | Python | Scientific Computing | Scikit-learn | Sensitivity Analysis | Simulation data | Simulation data management | Statistical Analysis | TensorFlow | Uncertainty Quantification
Education
Roles
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