Postdoctoral Fellow – Generative AI for Protein Engineering

Pfizer

Postdoctoral Fellow researching computational protein design and optimization at Pfizer. Focused on developing AI methods for next-generation biologic therapeutics with an interdisciplinary team.

Posted 4/16/2026full-timeGroton • Connecticut • 🇺🇸 United StatesJuniorMid-Level💰 $64,600 - $107,600 per yearWebsite

Tech Stack

Tools & technologies

NumpyPandasPythonPyTorch

About the role

Key responsibilities & impact

Conduct original research in computational protein engineering, with an emphasis on sequence- and structure-based generative modeling for protein fiducial design
Develop and deploy state-of-the-art ML methods for multi-objective, constraint-aware protein optimization
Apply proprietary computational framework and ML models for protein developability engineering
Communicate research findings through manuscripts, conference presentations, and internal seminars
Be an active member of a highly interdisciplinary team, collaborate with computational and experimental researchers in a multidisciplinary research environment

Requirements

What you’ll need

Ph.D. degree in computational chemistry, physical or biological sciences, chemical engineering, computer science, or related discipline
Less than 2 years of post-degree experience
Willingness to make a minimum 2-year commitment
Candidates advancing to interview stage must provide two letters of recommendation
Successful record of scientific accomplishments evidenced by scientific publications and/or presentations with at least 2-3 first-author publication in a peer-reviewed journal
Strong familiarity with state-of-the-art protein engineering tools (i.e., RFDiffusion, ProteinMPNN)
Strong working knowledge of modern protein engineering and generative modeling approaches, such as RFdiffusion, ProteinMPNN, and related diffusion‑ or flow‑based methods
Solid foundation in protein language models and structure‑aware generative models
Hands‑on experience with machine learning and computational biology libraries, including PyTorch and RDKit
Proficiency in Python programming, with experience using components of the scientific Python ecosystem (e.g., NumPy, SciPy, pandas)
Familiarity with running compute‑intensive machine learning experiments
Strong intellectual curiosity and enthusiasm for data‑driven research.

Benefits

Comp & perks

401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation
Holiday days
Personal days
Paid caregiver/parental leave
Paid medical leave
Health benefits including medical, prescription drug, dental and vision coverage

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Hard Skills & Tools

computational protein engineeringgenerative modelingprotein optimizationmachine learningprotein language modelsPython programmingdata-driven researchcompute-intensive experimentsscientific publicationsprotein developability engineering

Soft Skills

communicationcollaborationintellectual curiosityenthusiasm

Certifications

Ph.D. degree