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About the Role

At Pfizer, we are building AI that compounds, aiming to create scientific foundations for the future of medicine. This role involves developing, extending, and evaluating advanced AI methods to generate new scientific insights, accelerate experimentation, and enable better decision-making across the drug discovery and development lifecycle. The work has the potential to impact millions of patients worldwide.

Responsibilities

Develop, adapt, and improve foundation models, multimodal and graph-based approaches, generative methods, and agentic reasoning systems for biomedical research.
Design and execute rigorous, hypothesis-driven experiments to compare competing AI approaches.
Design datasets, benchmarks, and validation strategies to assess model trustworthiness, robustness, calibration, generalization, and interpretability.
Translate models into scientific evidence by working with AI engineers, computational biologists, and domain experts to test hypotheses and interpret results.
Develop reusable methods, benchmarks, model components, and workflows for common infrastructure.
Contribute to scientific reviews and research planning, and mentor colleagues.
Help define and prove an AI-native operating model for scientific discovery.
Build AI that compounds, ensuring methods work across different disease areas and modalities.

Requirements

A PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology, or a related quantitative field is preferred.
A Master's degree with 2+ years of relevant industry or research experience.
Demonstrated experience developing, extending, or evaluating machine learning methodologies on challenging 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.
Proficiency in model development, optimization, debugging, and evaluation methodologies.
Proficiency in experimental design, statistical analysis, and reproducible research practices.
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.
Intellectual curiosity, sharp analytical reasoning, comfort with ambiguity, and the ability to challenge assumptions.
Ability to influence through credibility and execution.
Must have permanent work authorization in the United States.
U.S. work visa sponsorship is not available for this role.

Skills

Foundation models
Multimodal learning
Graph learning
Knowledge graphs
Agentic AI
Scientific reasoning systems
Biological Sequence & Structure Modeling
Clinical & Real-World Data Modeling
Uncertainty-Aware AI
Causal ML
Interpretability
Python
PyTorch
JAX
Distributed training
Experiment tracking
Shared evaluation pipelines

Location

Hybrid

Work Type

Hybrid

Experience Level

Senior
PhD preferred
Master's degree with 2+ years of relevant industry or research experience

Education Level

PhD in Machine Learning, Artificial Intelligence, Computer Science, Statistics, Applied Mathematics, Computational Biology, or a related quantitative field
Master's degree

Salary/Compensations

$106,000.00 - $176,600.00
Eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 15.0% of the base salary
Eligibility to participate in our share based long term incentive program

Benefits

401(k) plan with Pfizer Matching Contributions and an additional Pfizer Retirement Savings Contribution
Paid vacation, holiday and personal days
Paid caregiver/parental and medical leave
Health benefits to include medical, prescription drug, dental and vision coverage
Relocation assistance may be available

About the Company

Pfizer has decades of world-class biology and chemistry, rich biomedical data and the global reach to get medicines to patients.
At Pfizer, AI is becoming a foundational capability that helps power scientific discovery and accelerate the development of medicines and vaccines.
We are building an AI-native operating model where small, highly capable teams combine deep human expertise with AI agents and intelligent systems to move at a pace that once took far larger organizations.

Equal Opportunity

Pfizer is committed to equal opportunity in the terms and conditions of employment for all employees and job applicants without regard to race, color, religion, sex, sexual orientation, age, gender identity or gender expression, national origin, disability or veteran status.
Pfizer also complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA.
Pfizer is an E-Verify employer.