Principal Scientist, Computational Protein Design
325 Binney St - Cambridge - USA - MA, United States
USD 142K-256K Senior-level Full Time
Tasks
- Build computational to experimental design platform
- Collaborate with cross-functional teams to validate models
- Establish off target screening strategies
- Evaluate and deploy computational protein design methods
- Extend protein design to enzymes and functional domains
- Identify technologies datasets and partnerships to accelerate workflows
- Lead computational protein design campaigns
- Monitor literature and apply machine learning methods
- Optimize TCR and antibody binders
Perks/Benefits
- Discretionary year end shutdown
- Family planning benefits
- Fitness support
- Healthcare benefits
- Mental health support
- Mindfulness support
- Paid time off
- Sabbatical
- Savings and investments
- Volunteer days
- Wellness programs
Skills/Tech-stack
Active Learning | AlphaFold-Multimer | Alphafold | Binder Design | Binding assays | Cell Based Functional Assays | Computational protein design | Data Engineering | De Novo | De novo binder design | Deep Mutational Scanning | Developability Assays | Diffusion Models | Flow Based Generation | Functional assays | Generative Design | Interface Scoring | Inverse Folding | Language Models | Machine Learning | Mammalian display | Molecular Docking | Molecular Dynamics | Molecular recognition | Multi-Objective Optimization | Multimer Binding Assays | Mutational Scanning | Objective optimization | Phage display | Protein Design | Protein Engineering | Protein Language Models | Protein structure | ProteinMPNN | PyRosetta | Python | RFdiffusion | Rosetta | Structure Informed Design | Tetramer Binding Assays | Yeast Display
Education
Roles
Regions
Countries
States
Cities
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