Job Summary
Pfizer is seeking a highly motivated Postdoctoral Scholar to conduct independent and collaborative research in computational protein design and optimization. This position focuses on developing and applying modern computational and machine learning-based approaches to accelerate the discovery of next-generation biologic therapeutics.
Postdoctoral Fellow – Generative AI for Protein Engineering, Berlin, Germany
Designation
Postdoctoral Fellow
Research Area
- Computational Protein Engineering
- Sequence and Structure-Based Generative Modeling
- Machine Learning in Drug Discovery
Location
- Groton, Connecticut, USA
- Berlin, Germany
Eligibility/Qualification
| Requirement Type | Details |
|---|---|
| Degrees | Ph.D. in Computational Chemistry, Biological Sciences, or related |
| Experience | Less than 2 years of post-degree experience |
| Commitment | Minimum 2-year commitment |
| Publications | 2-3 first-author publications in peer-reviewed journals |
| Skills | Familiarity with protein engineering tools (RFDiffusion, ProteinMPNN) |
| Technical | Proficiency in Python, PyTorch, and RDKit |
| Computational Skills | Experience in high-performance computing and ML workflows |
Job Description
The selected postdoctoral fellow will:
- Conduct original research in computational protein engineering with a focus on sequence- and structure-based generative modeling.
- Develop state-of-the-art ML methods for multi-objective, constraint-aware protein optimization.
- Apply proprietary computational frameworks and ML models for protein developability engineering.
- Communicate research findings through manuscripts, conference presentations, and internal seminars.
- Collaborate actively with a multidisciplinary team of scientists.
How to Apply
Interested candidates should submit their CV and two letters of recommendation. Applications can be submitted through the Pfizer careers website.
Last Date for Apply
April 30th, 2026
Join us at Pfizer to use your skills to transform patients’ lives through innovative therapies and cutting-edge research!
