Senior Machine Learning Research Scientist

Pfizer

. Develop and advance machine learning methods that learn from and reason across 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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Demonstrates expertise in developing and evaluating machine learning methodologies, with a strong focus on experimental design, model optimization, and translating research insights into actionable outcomes. Proficient in collaborating with interdisciplinary teams to advance AI methods in biomedical applications.

Highest-signal resume keywords

PhD In Machine LearningStrong PythonExperience With PyTorchExperimental DesignMultimodal Learning

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Machine Learning MethodologiesStatistical AnalysisModel DevelopmentOptimizationDebuggingEvaluation MethodologiesReproducible Research PracticeHypothesis-Driven InvestigationsIdentifying LimitationsTranslating Research Insights

Soft Skills

MentoringCollaboration

Tools & Technologies

JAXDistributed TrainingExperiment TrackingShared Evaluation Pipelines

Industry Keywords

Biomedical DataClinical AIGenerative AIFoundation ModelsGraph Neural NetworksAgentic SystemsKnowledge GraphsOmics

Tech Stack

Tools & technologies

PythonPyTorch

About the role

Key responsibilities & impact

Develop and advance machine learning methods that learn from and reason across 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 controlled, reproducible experiments and compare competing approaches
Design datasets, benchmarks, and validation strategies to evaluate robustness, calibration, generalization, transfer, reasoning ability, interpretability, and failure modes
Work with AI engineers, computational biologists, and domain experts to test hypotheses and interpret results, uncertainty, and limitations
Develop reusable methods, benchmarks, model components, and workflows on common infrastructure
Document, validate, and package frameworks for use 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, and clinical and domain experts to advance methods into drug discovery and development programs

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
Knowledge of model development, optimization, debugging and evaluation methodologies
Experience with 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
Permanent work authorization in the United States required
U.S. work visa sponsorship is not available for this role now or in the future

Benefits

Comp & perks

Pfizer 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, 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