Senior Machine Learning Research Scientist

Pfizer

. Develop and advance machine learning methods for complex biomedical, clinical, molecular, and scientific data .

Posted 11/6/2026full-timeUnited StatesSenior💰 $106,000 - $176,600 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Expertise in developing and advancing machine learning methodologies for biomedical and scientific data, with a strong focus on experimental design, model evaluation, and collaboration across multidisciplinary teams. Proficient in Python and frameworks like PyTorch or JAX, with a deep understanding of multimodal learning and generative AI.

Highest-signal resume keywords

PhD In Machine LearningStrong PythonExperience In Experimental DesignModel Development And EvaluationFamiliarity With Scalable ML Workflows

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning MethodologiesExperimental DesignStatistical AnalysisModel OptimizationReproducible Research PracticeMultimodal LearningGenerative AIGraph Neural NetworksClinical AIBiological Sequence Modeling

Soft Skills

MentoringCollaborationCommunication

Tools & Technologies

PyTorchJAXDistributed TrainingExperiment TrackingShared Evaluation Pipelines

Industry Keywords

Biomedical DataScientific MLAI FluencyDrug DiscoveryResearch Planning

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Develop and advance machine learning methods for complex biomedical, clinical, molecular, and scientific data
Create, adapt, and improve foundation models, multimodal and graph-based approaches, generative methods, and agentic reasoning systems
Design clear hypotheses and controlled, reproducible experiments
Compare competing approaches and identify where they succeed, fail, or need rework
Design datasets, benchmarks, and validation strategies to evaluate robustness, calibration, generalization, transfer, reasoning, interpretability, and failure modes
Translate models into scientific evidence with AI engineers, computational biologists, and domain experts
Develop reusable methods, benchmarks, model components, and workflows on shared infrastructure
Document, validate, and package frameworks for reuse across disease areas
Contribute to scientific reviews and research planning
Mentor colleagues and help raise AI fluency across R&D
Collaborate with AI researchers, computational biologists, engineers, clinical experts, and domain experts to advance drug discovery and development

Requirements

What you’ll need

PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology, or a related quantitative field preferred
Master's degree with 2+ years of relevant industry or research experience
Demonstrated experience developing, extending, or evaluating machine learning methodologies on hard, ambiguous, high-value problems
Experience designing rigorous experiments and hypothesis-driven investigations
Experience building and comparing models using reproducible scientific approaches
Experience identifying limitations, biases, uncertainty, and failure modes
Experience translating research insights into meaningful outcomes and recommendations
Experience owning a research area, benchmark, model component, or scientific capability from concept through delivery
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, including 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
Candidates must be authorized to be employed in the U.S. by any employer
This position requires permanent work authorization in the United States
U.S. work visa sponsorship is not available for this role now or in the future

Benefits

Comp & perks

Global Performance Plan with a bonus target of 15.0% of base salary
Share-based long-term incentive program
401(k) plan with Pfizer Matching Contributions
Additional Pfizer Retirement Savings Contribution
Paid vacation
Paid holiday and personal days
Paid caregiver/parental and medical leave
Medical, prescription drug, dental, and vision coverage
Relocation assistance may be available based on business needs and/or eligibility