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Senior Scientist, Machine Learning
2 months ago
Join an extraordinary team and cultivate cutting-edge deep-learning approaches to drug discovery and design in Cambridge, MA
Opportunity to:
- Develop and deploy cutting-edge machine learning approaches to challenging therapeutic biologic discovery and optimization objectives.
- You will join the growing AI/ML group within the computational science group and innovate cutting-edge research in deep learning and applications to drug discovery and design.
- Collaborate closely with cross-functional teams to solve complex problems, including de novo design, multi-parameter optimization, inverse folding, sequence-structure-function modeling, and more.
- Work with brilliant teams and see the results of your innovation improve patients' lives in the near future.
Requirements:
- PhD in Computer Science, Physics, Mathematics, Statistics, or a related STEM discipline
- Experience in drug discovery and design
- Prior experience developing novel ML and Deep Learning approaches to biological applications.
- Experience with protein design, folding, and sequence-structure-function modeling.
*Candidates must be in the US with current/active work authorization and willing to work a hybrid model with weekly onsite collaboration.