At Pfizer, our purpose is to deliver breakthroughs that transform patients' lives. Central to this mission is our Research and Development team, which strives to convert advanced science and cutting-edge technologies into impactful therapies and vaccines. Whether you are engaged in discovery sciences, ensuring drug safety and efficacy, or supporting clinical trials, your role is crucial. You will leverage innovative design and process development capabilities to expedite the delivery of top-tier medicines to patients globally.
Pfizer's Machine Learning Computational Sciences (MLCS) group is seeking a highly motivated postdoctoral scholar to conduct independent and collaborative research in computational antibody design and optimization. This position focuses on the development and application of modern computational and machine-learning–based approaches to accelerate the discovery of next-generation biologic therapeutics. The role sits at the intersection of machine learning, protein science, and therapeutic discovery, ideal for candidates eager to translate foundational AI research into real-world drug design while supporting scientific publication and professional development. The selected postdoc will join a cohort of other AI-focused postdoctoral researchers working on a variety of R&D topics. This community offers opportunities for peer mentorship and exposure to diverse applications of machine learning in discovery and development.
What You Will Achieve
Here Is What You Need (Minimum Requirements):
Bonus Points If You Have (Preferred Requirements):
Additional Information
Tagged as: Life Sciences
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