Associate Director, AI/ML – Digital Health Analytics

Pfizer

. Lead development and application of AI/ML solutions for scientific, analytical, and operational challenges across pharmaceutical R&D .

Posted 11/4/2026full-timeUnited StatesSenior💰 $139,100 - $231,900 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in AI/ML solutions, statistical methodologies, and data science applications within pharmaceutical R&D. Proficient in translating complex analytical findings into actionable insights while collaborating effectively across multidisciplinary teams.

Highest-signal resume keywords

AI/ML Solutions DevelopmentGenerative AI and Agentic AIStatistical Methodology and AnalysisProgramming in R and PythonCollaboration in Multidisciplinary Teams

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Applicant Tracking System Keywords

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Hard Skills

AI/MLData ScienceQuantitative AnalyticsStatistical ConceptsExperimental DesignData AnalysisQuantitative InterpretationProgramming in RProgramming in PythonDigital Biomarker Imaging

Soft Skills

Excellent Communication SkillsInfluencing and CollaborationCoaching and Guidance

Tools & Technologies

PyTorchTensorFlowLLMsDigital Health TechnologiesWearable Sensors

Certifications & Qualifications

PhD in Data Science or Related FieldMaster's Degree in Data Science or Related Field

Industry Keywords

Pharmaceutical R&DClinical DevelopmentReal-World DataOmicsMedical Imaging

Tech Stack

Tools & technologies

PythonPyTorchTensorflow

About the role

Key responsibilities & impact

Lead development and application of AI/ML solutions for scientific, analytical, and operational challenges across pharmaceutical R&D
Design, prototype, and evaluate Generative AI and agentic AI workflows that automate or augment statistical analysis, data science, programming, scientific reasoning, and knowledge-intensive workflows
Establish and apply rigorous evaluation frameworks addressing accuracy, reproducibility, robustness, reliability, and human oversight
Collaborate with statisticians, data scientists, clinicians, scientists, engineers, and technology partners to translate scientific problems into practical AI/ML solutions
Serve as a statistical SME on multidisciplinary project teams
Provide guidance on digital biomarker imaging and wearable study design, statistical methodology, analysis, interpretation, and evidence generation
Apply AI/ML, statistical, and data-science methods to omics, imaging, digital health technology, clinical, and real-world data
Translate complex analytical findings into scientific insights and recommendations for cross-functional partners

Requirements

What you’ll need

PhD with 2 years of relevant professional experience in Data science, Computer Science, Engineering, Biostatistics, Machine Learning, or another quantitative STEM discipline; or Master's degree with at least 5 years of relevant professional experience in Computer Science, Data Science, Biostatistics, Machine Learning, or a related quantitative field
Strong hands-on experience in AI/ML, data science, or advanced quantitative analytics
Experience developing or applying Generative AI, LLMs, agentic AI, or other modern AI/ML approaches
Strong programming skills in R and/or Python
Solid understanding of statistical concepts, experimental/study design, data analysis, and quantitative interpretation
Demonstrated ability to work effectively in multidisciplinary and multifunctional teams
Excellent written, verbal, and scientific communication skills, with the ability to communicate complex AI/ML and quantitative concepts to both technical and non-technical audiences
Ability to influence and collaborate with peers, develop and coach others, and oversee and guide colleagues
Preferred: hands-on experience with PyTorch, TensorFlow, or comparable machine-learning/deep-learning frameworks
Preferred: experience with open-source/open-weight LLMs and modern LLM development ecosystems
Preferred: experience with medical imaging data, digital health technologies such as wearable sensors, omics, and real-world data
Preferred: experience in foundation models and multimodal AI
Preferred: understanding of clinical development and quantitative evidence in drug development
Candidates must be authorized to be employed in the U.S. by any employer
U.S. work visa sponsorship is not available now or in the future
Requires permanent work authorization in the United States

Benefits

Comp & perks

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 support/assistance may be available based on business needs and/or eligibility
17.5% bonus target through Pfizer’s Global Performance Plan
Eligibility to participate in Pfizer’s share based long term incentive program