Position Summary We are seeking a highly motivated Associate Director, AI/ML & Digital Health Analytics to join the Digital Sciences, Imaging & Translational AI (DITA) team within AI/ML Quantitative and Digital Sciences (AQDS). The primary focus of this role is the development and application of modern AI/ML technologies, including Generative AI, large language models (LLMs), and agentic AI workflows, to address complex scientific and analytical challenges across pharmaceutical R&D. The successful candidate will design, prototype, evaluate, and help operationalize AI-enabled solutions that enhance scientific analysis, automate quantitative workflows, and accelerate data-driven decision-making. The candidate will play a key role in establishing rigorous evaluation frameworks, benchmarking strategies, and statistical methodologies for assessing Generative AI and agentic systems. The candidate will work across multimodal biomedical and healthcare data, including omics, medical imaging, digital health technologies (DHTs), and real-world data (RWD), and collaborate with multidisciplinary teams to translate emerging AI capabilities into scientifically rigorous and impactful solutions. The role is ideal for an individual who combines strong AI/ML and computational capabilities with a solid foundation in statistics and quantitative sciences, and who enjoys working at the intersection of emerging technology, data science, and drug development. Key Responsibilities AI/ML, Generative AI & Agentic AI: Lead the development and application of AI/ML solutions to address 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 rigorous, fit-for-purpose frameworks addressing factors such as 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. Quantitative Science & Advanced Analytics: Serve as a statistical SME within multidisciplinary project teams, providing guidance on digital biomarker (imaging and wearables) study design, statistical methodology, analysis, interpretation, and evidence generation. Apply AI/ML, statistical, and data-science methods to a broad range of 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. Basic Qualifications 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. Candidate demonstrates a breadth of diverse leadership experiences and capabilities including: the ability to influence and collaborate with peers, develop and coach others, oversee and guide the work of other colleagues to achieve meaningful outcomes and create business impact. Preferred Qualifications Hands-on experience with PyTorch, TensorFlow, or comparable machine-learning/deep-learning frameworks. Experience working with open-source/open-weight LLMs and modern LLM development ecosystems. Experience with including one or more of medical imaging data, digital health technologies such as wearable sensors, omics, and real-world data. Experience in foundation models and multimodal AI. Understanding of clinical development and the use of quantitative evidence in drug development. Key Capabilities for Success AI/ML innovation and execution Strong hands-on ability to develop and evaluate modern AI/ML solutions, particularly Generative AI, LLMs, and agentic workflows, while translating rapidly evolving technologies into practical scientific applications. Quantitative and statistical rigor Ability to apply sound statistical thinking to complex biomedical data and provide statistical leadership for digital health and wearable studies. Scientific problem solving Ability to start with a scientific or drug-development problem rather than a particular technology and determine when AI/ML, statistics, or a combination of approaches provides the appropriate solution. Communication and influence Ability to communicate complex technical concepts clearly and serve as a trusted quantitative and AI/ML partner across multidisciplinary teams. PHYSICAL/MENTAL REQUIREMENTS office job involving use of computer, ability to type, communicate and work on teams. Relocation support available Work Location Assignment: Hybrid Last Day to Apply: November 11, 2026 The annual base salary for this position ranges from $139,100.00 to $231,900.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 17.5% of the base salary and eligibility to participate in our share based long term incentive program. We offer comprehensive and generous benefits and programs to help our colleagues lead healthy lives and to support each of life’s moments. Benefits offered include a 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, and health benefits to include medical, prescription drug, dental and vision coverage. Learn more at Pfizer Candidate Site – U.S. Benefits | (uscandidates.mypfizerbenefits.com). Pfizer compensation structures and benefit packages are aligned based on the location of hire. The United States salary range provided does not apply to Tampa, FL or any location outside of the United States. This role is posted in multiple locations. If you are applying for the role in an secondary job posting location where pay transparency regulations apply, your Talent Advisor will share the local pay information with you during the first interview. Relocation assistance may be available based on business needs and/or eligibility. Candidates must be authorized to be employed in the U.S. by any employer. U.S. work visa sponsorship (such as TN, O-1, H-1B, etc.) is not available for this role now or in the future. Sunshine Act Pfizer reports payments and other transfers of value to health care providers as required by federal and state transparency laws and implementing regulations. These laws and regulations require Pfizer to provide government agencies with information such as a health care provider’s name, address and the type of payments or other value received, generally for public disclosure. Subject to further legal review and statutory or regulatory clarification, which Pfizer intends to pursue, reimbursement of recruiting expenses for licensed physicians may constitute a reportable transfer of value under the federal transparency law commonly known as the Sunshine Act. Therefore, if you are a licensed physician who incurs recruiting expenses as a result of interviewing with Pfizer that we pay or reimburse, your name, address and the amount of payments made currently will be reported to the government. If you have questions regarding this matter, please do not hesitate to contact your Talent Acquisition representative. EEO & Employment Eligibility 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. This position requires permanent work authorization in the United States. Pfizer endeavors to make www.pfizer.com/careers accessible to all users. If you would like to contact us regarding the accessibility of our website or need assistance completing the application process and/or interviewing, please email [email protected]. This is to be used solely for accommodation requests with respect to the accessibility of our website, online application process and/or interviewing. Requests for any other reason will not be returned. To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available on Pfizer Careers. Research and Development A career at Pfizer offers opportunity, ownership and impact. All over the world, Pfizer colleagues work together to positively impact health for everyone, everywhere. Our colleagues have the opportunity to grow and develop a career that offers both individual and company success; be part of an ownership culture that values diversity and where all colleagues are energized and engaged; and the ability to impact the health and lives of millions of people. Pfizer, a global leader in the bio pharmaceutical industry, is continuously seeking top talent who are inspired by our purpose to innovate to bring therapies to patients that significantly improve their lives.

Associate Director, AI/ML & Digital Health Analytics.

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