This is a remarkable opportunity to join a cutting-edge organization innovating at the intersection of science and technology. Apply to learn more and join a team committed to making a difference in human health.
Responsibilities:
- Developing novel AI, structure, or sequence-based methods for small molecules, peptides, and/or proteins.
- Develop and implement algorithms for drug discovery efforts
- Provide expertise at the intersection of AI/ML to inform strategies for drug discovery organizationally
- Build and train AI models
- Develop production-level code/pipelines and deploy them on cloud infrastructure.
Requirements:
- PhD in Biophysics, Physics, Computational Chemistry, Computer Science, Cheminformatics, AI/ML, or a related computational discipline.
- Demonstrated experience developing and implementing novel methods and algorithms for the modeling and designing of small molecules and their interactions with proteins.
To succeed in this role, you will have experience with:
- Using AND developing software for the prediction and design of small molecule–protein interactions such as DiffDock, Autodock, Dock, Rosetta, RoseTTAFold-AllAtom
- Developing novel AI, structure, or sequence-based methods for biomolecules.
- Molecular dynamics simulations, conformational sampling, and dynamics-related calculations (e.g., FEP)
- Building block software such as RDKit.
- Modern deep learning frameworks (e.g., SageMaker, PyTorch, JAX)
- Modern software development and cloud services (e.g., Git, Docker, AWS Batch, Step Functions, EKS)
***Title / Level will be equitable to the candidate's experience within our organization***
(We are aiming to bring on a Senior Scientist, Principal Scientist, and/or an Associate Director for the team)
