Sr. Data Scientist – Computational Drug Discovery
Tasks
- Build integrated modeling frameworks
- Collaborate with structural biology and experimental teams
- Communicate findings through presentations and technical documentation
- Design molecular dynamics simulations
- Develop computational workflows and reusable pipelines
- Develop machine learning models for molecular properties
- Evaluate emerging generative modeling methods
- Incorporate physics based insights into machine learning models
- Mentor junior data scientists
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Active Learning | Amber | Containerization | Cryo-EM | Deep learning | Docker | Energy analysis | Enhanced sampling | Free Energy Analysis | Free energy | GROMACS | Generative Modeling | Git | HDX | High Performance | High-Performance Computing | Kinetics Analysis | Machine Learning | Molecular Dynamics | Molecular Modeling | Molecular simulation | NAMD | OpenMM | Optimization | Performance Computing | PyTorch | Python | Rare Event Methods | Supervised Learning | Workflow Orchestration | X-Ray
Education
Roles
Regions
Countries
States
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