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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Machine Learning Research Scientist - **Company:** Pfizer Inc. - **Location:** Bothell, WA, United States - **Experience:** Expert - **Salary:** $106,000.0 - $176,600.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Computational Biology, Software Debugging, Distributed Computing Environment, Graph Database, Python (Programming Language), Machine Learning, Graph Neural Networks, Multimodal Learning, Pytorch, Evaluation Pipelines, Large Language Models, Generative AI, Agentic-AI, Information Technology, Free and Open-Source Software, Machine Learning Operations - **Published:** November 6, 2026 - **Apply:** https://pfizer.wd1.myworkdayjobs.com/PfizerCareers/job/United-States---Washington--Bothell/Senior-Machine-Learning-Research-Scientist_4967518-1 ## About the Role * A PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology, or a related quantitative field preferred * A Master's degree with 2+ years of relevant industry or research experience Proven Scientific Impact You have demonstrated experience: * Developing, extending, or evaluating machine learning methodologies on hard, ambiguous, high value problems. * Designing rigorous experiments and hypothesis-driven investigations * Building and comparing models using reproducible scientific approaches * Identifying limitations, biases, uncertainty, and failure modes * Translating research insights into meaningful outcomes and recommendations * Owning a research area, benchmark, model component, or scientific capability from concept through delivery We are looking for scientists who have moved beyond experimentation alone and can demonstrate measurable contributions to scientific progress, product capabilities, or business impact. Technical & Research Proficiency * Strong Python and PyTorch, JAX or an equivalent framework * Model development, optimization, debugging and evaluation methodologies * Experimental design, statistical analysis and reproducible research practice * Familiarity with scalable ML workflows, such as distributed training, experiment tracking, and shared evaluation pipelines * Depth in one or more of: multimodal learning, foundation models, GNNs, generative AI, agentic systems, biological sequence or structure modeling, knowledge graphs, clinical AI, omics and biomedical data, scientific ML Publications, patents, open-source contributions, deployed research, or other evidence of scientific impact are valued as indicators of expertise and execution. How you work Intellectual curiosity, sharp analytical reasoning, comfort with ambiguity, a habit of challenging assumptions (including your own), and the ability to influence through credibility and execution. Nice to have * Experience applying AI in life sciences, biotechnology, healthcare, pharmaceuticals, or biomedical research * Experience with biological, molecular, imaging, clinical, or real-world health data * Experience building foundation models or multimodal learning systems for scientific applications * Experience evaluating and implementing responsible AI methodologies * Experience working across multidisciplinary scientific organizations What Success Looks Like You take ownership of important scientific questions and design experiments with rigor and purpose. You build things other teams pick up and use. A framework you create in one therapeutic area shows up in the next, and the one after that. You balance innovation with evidence, learn fast from failure, and influence people with data. You make the science around you better, and you stay focused on impact for patients. ## Description Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider's name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative.