Director, Oncology AI Product & Engineering Lead

Pfizer
Pfizer logo
Location
New York City, NY
Job Type
Full-time
Posted
May 16, 2026
Views
100
Salary Range
$177k - $294k USD

Job Description

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.

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.

The annual base salary for this position ranges from $176,600.00 to $294,300.00. In addition, this position is eligible for participation in Pfizer’s Global Performance Plan with a bonus target of 20.0% 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.

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 disabilityrecruitment@pfizer.com. 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.

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Frequently Asked Questions

Where is the job located, and is it a remote, hybrid, or on-site position?
This position is located in New York City, NY.
What are the main responsibilities of this role?
You'll own the Oncology AI product strategy, lead a team of AI engineers, translate scientific problems into AI product requirements, and drive stakeholder engagement.
What qualifications are required for this role?
A PhD in a related field plus 5 years of experience OR a Master's degree plus 7 years of experience, along with experience leading AI-enabled products in pharma, biotech, or related fields is required.
What is the salary range for this position?
The annual base salary ranges from $176,600.00 to $294,300.00, plus bonus eligibility and long term incentives.
Does Pfizer offer visa sponsorship for this role?
No, U.S. work visa sponsorship is not available for this position, now or in the future.
What benefits does Pfizer offer?
Pfizer offers benefits including a 401(k) plan, paid vacation, holiday, and personal days, paid caregiver/parental and medical leave, and comprehensive health coverage.
Does Pfizer offer relocation assistance?
Relocation assistance may be available based on business needs and eligibility.

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  • Verified H-1B salary data
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Job Information

Source: manual
AI Relevance: 90/100 (Highly relevant)
Remote Type: onsite
Experience: Director
Allowed Locations: Worldwide
Skills & Tags:
AI machine learning oncology data science

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