Director, Oncology AI Product & Engineering Lead
$176.6k - $294.3kPfizer
Pfizer Oncology is building an AI-first R&D engine where artificial intelligence is a foundational capability shaping how medicines are discovered, developed, and delivered to patients. We are seeking a Director, Oncology AI Product & Engineering Lead to own the translation of Oncology R&D needs into high impact AI products and solutions.
In this role, you will lead a multidisciplinary team of AI engineers and science focused technologists, define the Oncology AI product roadmap, and partner closely with scientific, clinical, digital, and enterprise stakeholders to identify opportunities for process automation / simplification and ensure solutions are adopted, scalable, and decision relevant. This role does not require hands on coding, but does require strong technical fluency, scientific credibility, and product leadership.
Key Responsibilities
- Own the Oncology AI product strategy and roadmap across discovery, translational science, clinical development, and real-world evidence.
- Lead and manage a cross functional team of AI engineers, providing technical direction, prioritization, and coaching.
- Translate complex scientific and operational problems into clear AI product requirements, success metrics, and delivery plans.
- Partner with Oncology scientific leaders, clinical teams, Digital, Enterprise AI, and IT to ensure solutions are aligned with enterprise platforms and governance.
- Evaluate AI concepts, prototypes, and technical approaches, providing informed guidance and trade‑off decisions.
- Assess Oncology workflows to identify and propose opportunities for automation and process improvements.
- Drive stakeholder engagement, change management, and adoption, ensuring AI solutions move beyond pilots to sustained impact.
- Establish lightweight governance, delivery standards, and value tracking for Oncology AI initiatives.
- Represent Oncology AI initiatives in leadership forums and cross-enterprise discussions.
Basic Qualifications
- PhD in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 5 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support OR
- Master’s in Computer Science, Machine Learning, Data Science, Software Engineering, AI, or a related discipline and a minimum of 7 years of applied analytical experience with demonstrated impact in operations, automation, business analytics, or decision support.
- Demonstrated impact leading AI enabled products, platforms, or analytics solutions in pharma, biotech, healthcare technology, or AI startups.
- Strong understanding of Oncology R&D workflows and the role of data and AI in scientific and clinical decision making.
- Proven ability to lead multidisciplinary technical teams in a matrixed environment.
- High technical fluency enabling effective evaluation of AI/ML approaches without hands on development.
- Excellent communication and stakeholder management skills.
Preferred Qualifications
- Experience operating at the intersection of science, product management, and engineering.
- Familiarity with AI/ML concepts including data pipelines, model development, and prototyping workflows.
- Experience scaling AI solutions in large, regulated organizations.
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 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 View email address on us.fitly.work. 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 .
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