Senior Scientist, AI Computational Structural Biology
Cambridge Crossing, United States
USD 141K-179K Senior-level Full Time
Tasks
- Author scientific reports and publishable manuscripts
- Design AI ML approaches to predict protein cooperativity and affinity
- Develop AI ML models to predict structural biomolecular interactions
- Develop AI ML models using chemoproteomics data to generate druggability hypotheses
- Develop co folding models using structural and non structural priors
- Plan and execute collaborative research projects
- Present methods results and conclusions
Perks/Benefits
Skills/Tech-stack
AlphaFold-Multimer | AlphaFold2 | Biopython | Chemoproteomics | Co-folding | Data integration | Deep learning | Diffusion Models | ESM | Equivariant Neural Networks | Flow matching | Genomics | Graph Neural Networks | JAX | Machine Learning | Molecular Glues | Multimodal Data | Multimodal data integration | Neural Networks | PROTAC | Protein Cooperativity | Protein Structure Prediction | Protein folding | Protein interaction | Protein protein interaction | Protein structure | Proteomics | PyTorch | Python | RDKit | RoseTTAFold2 | Structure prediction | Transformers
Education
Roles
Biologist | Computational Biologist | Scientist | Senior Scientist
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