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Pfizer is seeking a Senior Machine Learning Research Scientist to help create the scientific foundations behind the future of AI in medicine at Pfizer.
You will develop, extend, and rigorously evaluate advanced AI methods that generate new scientific insights and accelerate experimentation across the drug discovery and development lifecycle. You’ll work with world-class researchers to tackle meaningful problems in healthcare and deliver technology that could impact millions of patients worldwide.
Build AI That Could Help Transform the Future of Medicine
Frontier AI is changing what’s possible in science, and few places let you apply it to a problem as consequential as human health. Pfizer is one of them. We have decades of world-class biology and chemistry, rich biomedical data and the global reach to get medicines to patients. We are pairing them with the newest advances in AI and we are doing it along with the world’s leaders in building medicine.
At Pfizer, we believe the next generation of scientific breakthroughs will be powered by advances in artificial intelligence. From foundation models and multimodal learning to biological reasoning and agentic systems, AI has the potential to fundamentally change how we discover, develop, and deliver medicines to patients. As a Senior Machine Learning Research Scientist, you will help create the scientific foundations behind that future at Pfizer.
We are not looking for one clever model for one clever problem or applying existing models to a single problem. You will develop, extend, and rigorously evaluate advanced AI methods that generate new scientific insights, accelerate experimentation, and enable better decision‑making across the drug discovery and development lifecycle. We are building AI that compounds. A method, benchmark or model that works in one disease area should become a foundation that can impact across oncology, immunology/inflammation, internal medicine, vaccines and beyond. You’ll design for that!
Working alongside world-class AI researchers, computational biologists, engineers, and domain experts, you'll tackle some of the most challenging and meaningful problems in healthcare while building technology that has the potential to impact millions of patients worldwide.