Associate Director, AI/ML & Digital Health Analytics

Pfizer • New York City, MA

5d • Hybrid

About The Position

The Associate Director, AI/ML & Digital Health Analytics joins Pfizer’s Digital Sciences, Imaging & Translational AI (DITA) team within AI/ML Quantitative and Digital Sciences (AQDS). The role develops, applies, and helps operationalize modern AI/ML technologies—including Generative AI, large language models (LLMs), and agentic AI workflows—to address scientific and analytical challenges across pharmaceutical R&D. The successful candidate designs, prototypes, and evaluates AI-enabled solutions that enhance scientific analysis, automate quantitative workflows, and accelerate data-driven decision-making, while establishing rigorous evaluation frameworks, benchmarking strategies, and statistical methodologies for Generative AI and agentic systems.

The position works with multimodal biomedical and healthcare data, including omics, medical imaging, digital health technologies (DHTs), and real-world data (RWD). The Associate Director serves as a statistical subject-matter expert on multidisciplinary project teams, particularly for digital biomarker studies using imaging and wearables, and translates analytical findings into clear scientific insights and recommendations. The role combines hands-on AI/ML and computational work with statistical and quantitative expertise to turn emerging technologies into scientifically rigorous solutions relevant to drug development.

The position is an office-based role involving computer use, typing, communication, and teamwork. The work location assignment is hybrid. Relocation support may be available based on business needs and eligibility. Candidates must be authorized to work in the U.S.; U.S. work visa sponsorship is not available.

Requirements

• PhD with at least 2 years of relevant professional experience in data science, computer science, engineering, biostatistics, machine learning, or another quantitative STEM discipline; or a 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 or study design, data analysis, and quantitative interpretation.
• Demonstrated ability to work effectively in multidisciplinary and multifunctional teams.
• Excellent written, verbal, and scientific communication skills, including the ability to communicate complex AI/ML and quantitative concepts to technical and non-technical audiences.
• Leadership capabilities, including influencing and collaborating with peers, developing and coaching others, and overseeing and guiding colleagues’ work.
• Permanent work authorization in the United States; U.S. work visa sponsorship is not available.

Nice To Haves

• Hands-on experience with PyTorch, TensorFlow, or comparable machine-learning or deep-learning frameworks.
• Experience working with open-source or open-weight LLMs and modern LLM development ecosystems.
• Experience with one or more of medical imaging data, digital health technologies such as wearable sensors, omics, and real-world data.
• Experience with foundation models and multimodal AI.
• Understanding of clinical development and the use of quantitative evidence in drug development.

Responsibilities

• Lead the 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 other knowledge-intensive workflows.
• Evaluate AI/ML solutions using fit-for-purpose frameworks that address 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 subject-matter expert on multidisciplinary teams, advising on digital biomarker studies involving imaging and wearables, including study design, statistical methodology, analysis, interpretation, and evidence generation.
• Apply AI/ML, statistical, and data-science methods to multimodal biomedical data, including omics, imaging, DHT, clinical, and real-world data.
• Translate complex analytical findings into clear scientific insights and recommendations for cross-functional partners.
• Influence and collaborate with peers, develop and coach others, and oversee and guide colleagues’ work to achieve meaningful outcomes and business impact.

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.
• Medical, prescription drug, dental, and vision coverage.
• Eligibility to participate in Pfizer’s Global Performance Plan, with a bonus target of 17.5% of base salary.
• Eligibility to participate in a share-based long-term incentive program.
• Relocation assistance may be available based on business needs and eligibility.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior