Postdoctoral Fellow – Computational Protein Design

About the role

Our Discovery Biologics team is looking for a motivated postdoctoral scientist to advance computational protein engineering and next‑generation biotherapeutic design. Based in Cambridge, MA, you will integrate AI/ML methods with physics‑based modeling to tackle core challenges in protein design and structure prediction.

Key responsibilities

• Implement rigorous benchmarking of state‑of‑the‑art computational protein design approaches.
• Develop and validate ensemble‑aware generative design and scoring methodologies for therapeutic pipelines.
• Communicate findings through high‑impact manuscripts, conference presentations, and distribution of models and tools.

Required profile

• PhD (or expected by spring 2027) in Computational Biology, Bioinformatics, Computer Science, Biophysics, Computational Chemistry, Machine Learning or related quantitative field.
• Hands‑on experience with protein design tools (e.g., RFdiffusion, BoltzGen, ProteinMPNN) and structure prediction algorithms (e.g., AlphaFold, Boltz, ESMFold).
• Strong quantitative mindset, ability to build benchmarks, curate datasets, and perform critical analysis.
• Proficiency in Python and modern ML frameworks (PyTorch, JAX) plus experience with high‑performance computing.

Required skills

• Python programming
• PyTorch or JAX
• High‑performance computing
• RFdiffusion, BoltzGen, ProteinMPNN
• AlphaFold, Boltz, ESMFold
• Rosetta/PyRosetta, Flex ddG, FEP
• AMBER, Desmond, GROMACS, OpenMM

What we offer

• Salary range $82,000–$92,000 per year
• Annual bonus and long‑term incentive eligibility
• Comprehensive medical, dental, vision, and retirement benefits
• Paid holidays, vacation, and compassionate/sick days