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 AI & Data Engineers to focus on generalist, use case driven AI solutions where process, workflow, and data engineering are as critical as advanced science. This role is ideal for engineers who thrive in rapid prototyping environments and enjoy translating real-world problems into practical, AI enabled tools.
In this role, you will partner with scientific, clinical, and operational teams to develop data pipelines, analytics, and machine learning solutions that enhance the effectiveness of Oncology R&D workflows.
Key Responsibilities
Build and prototype AI enabled solutions supporting Oncology R&D workflows and decision making.
Develop and maintain data pipelines, feature engineering workflows, and analytical models.
Apply machine learning techniques to structured and unstructured healthcare data.
Collaborate with scientific and product partners to understand needs and deliver usable tools.
Focus on speed, iteration, and usability, with production scaling supported by enterprise Digital teams as appropriate.
Contribute to shared engineering standards, documentation, and best practices.
Basic Qualifications
Bachelor's degree and 6+ years of relevant work experience OR Master’s degree and 5+ years of experience OR PhD and 1+ years of experience. Advanced degree in computer science, machine learning, artificial intelligence, computational biology, bioinformatics, statistics, engineering, or a related quantitative or scientific field strongly preferred.
Demonstrated hands‑on experience building data, analytics, or ML solutions in healthcare, life sciences, or health tech.
Strong programming skills and experience with modern data and ML tooling.
Ability to rapidly prototype and adapt solutions based on feedback.
Strong collaboration and communication skills.
Preferred Qualifications
Experience working on research or clinical workflows.
Background in healthcare technology companies or AI startups.
Exposure to cloud‑based data and ML environments.
Additional Information
Last day to apply June 21, 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.
To learn more about acceptable and prohibited uses of AI during the recruitment process, please review our candidate AI-use guidelines available onPfizer Careers.
Research and Development
