Postdoctoral Fellow: AI-Driven Protein Design for Biotherapeutics

Merck & Co.; Cambridge (MA); On-site; USD 82,000 - 92,000; Full time

Benefits offered by this job

Annual bonus

Long-term incentive

Medical, dental, vision insurance

Retirement benefits (401(k))

Paid holidays and vacation

Job summary

Merck & Co. in Cambridge, MA seeks a postdoctoral scientist to push AI/ML and physics-based design in computational protein engineering. You will explore ensemble-aware strategies and deliver tools for next-generation biotherapeutics, with publication opportunities and rapid data-driven validation.

Embedded in Discovery Biologics, you will benchmark methods, generate data, and share models with internal and external audiences to accelerate therapeutic pipelines.

Qualifications

• PhD in a quantitative field related to computational protein design.
• Experience with benchmarks and data curation for ML design tools.
• Strong Python and ML framework skills (PyTorch/JAX).

Responsibilities

• Implement benchmarking strategies for computational protein design approaches.
• Develop ensemble-aware generative design and scoring methodologies.
• Disseminate findings via manuscripts and high-quality models/tools.

Skills

Python

PyTorch

JAX

Collaboration

Scientific communication

Education

PhD in Computational Biology/Bioinformatics/CS/Biophysics/Computational Chemistry

PhD expected by Spring 2027

Related quantitative discipline

Tools

RFdiffusion

BoltzGen

ProteinMPNN

AlphaFold

ESMFold

Job description

Merck & Co. in Cambridge, MA seeks a postdoctoral scientist to push AI/ML and physics-based design in computational protein engineering. You will explore ensemble-aware strategies and deliver tools for next-generation biotherapeutics, with publication opportunities and rapid data-driven validation.

Embedded in Discovery Biologics, you will benchmark methods, generate data, and share models with internal and external audiences to accelerate therapeutic pipelines.