Principal Scientist, Computational Sciences - Protein Structure Prediction and Design
San Diego Campus Point - CA, United States
USD 156K-190K Senior-level Full Time
Tasks
- Build predictive biologics design machine learning models
- Develop and scale antibody design workflows
- Develop protein structure modeling and generative protein design methods
- Implement computational pipelines with reproducibility benchmarking and documentation
- Partner with computational and wet lab teams to prioritize capabilities
- Translate insights into actionable decisions and communicate findings
Perks/Benefits
- 401k plan
- Dental insurance
- Disability insurance
- Employee assistance program
- Flexible time off
- Global shutdown
- Health insurance
- Life insurance
- Paid time off
- Vision insurance
- Volunteer days
Skills/Tech-stack
Active Learning | Bayesian optimization | Benchmarking | Computational pipelines | Diffusion Models | Flow Models | Free energy | Free energy perturbation | Generative Modeling | Machine Learning | Model Evaluation | Molecular Dynamics | Protein Design | Protein Engineering | Protein Structure Prediction | Protein modeling | Protein structure | Python | Reproducible Research | Structure prediction | Transformers
Education
Roles
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