Postdoctoral Fellow, AI for Quantitative Medicine position at Pfizer, leading innovative research at the intersection of AI, medical imaging, and oncology drug development.
Requirements
- PhD (or equivalent doctoral degree) completed by start date in a relevant field such as Biomedical Engineering, Chemical Engineering, Computational Biology, Biostatistics, Mathematics, Physics, Computer Sciences, Pharmaceutical Sciences or a related quantitative discipline.
- Demonstrated research experience applying machine learning or deep learning methods to biomedical, imaging, PK/PD, or clinical data.
- Proficient in at least one programing language (e.g., Python, R, MATLAB, etc.).
- Experience in machine learning/deep learning (PyTorch, TensorFlow), medical image analysis, and/or pharmacometrics.
- Strong foundation in deep learning methodologies (e.g., CNNs, Transformers, vision-language or multimodal models).
- Ability to translate methodological innovation into practical, data-driven insights within a regulated or applied research environment.
Benefits
- 401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
- paid vacation
- holiday and personal days
- paid caregiver/parental and medical leave
- health benefits to include medical, prescription drug, dental and vision coverage