Machine Learning Research Scientist/Senior - Structure and Simulation

About this role

Requirements

• PhD degree in Computational Biology, Computer Science, Chemistry, Physics or related disciplines, with up to 2 years of industry research experience (Scientist) or 2+ years (Senior Scientist)
• Demonstrated experience with Python and deep learning libraries such as PyTorch and/or JAX
• Demonstrated experience architecting and training deep learning models, particularly utilizing modern approaches (e.g., multimodal representation learning, geometric deep learning, and diffusion models)
• Expertise in molecular dynamics simulations and classical force fields (e.g., AMBER, CHARMM, OpenFF), as well as hands-on experience with molecular modeling tools (e.g., OpenMM, Rosetta)
• Demonstrated research experience, including at least one first author publication (or equivalent)
• Strong communication and collaboration skills
• Public portfolio of computational projects (available on e.g. GitHub)

Responsibilities

• Design and train foundation models at scale to answer challenging research questions in large-molecule drug discovery and protein engineering
• Leverage massive structural biology and biophysical datasets, building novel architectures that capture complex geometric and physical priors
• Contribute to cross-functional research teams across the Computational Sciences Center of Excellence
• Contribute to publications and present scientific findings at internal and external venues
• Solve real, pressing problems in drug discovery that enable new portfolio capabilities

Benefits

• Expected salary range for ML Scientist (New York): $141,100 - 262,100
• Expected salary range for Senior ML Scientist (New York): $160,900 - 298,700