Senior Manager, AI, and Data Engineering
Pfizer
August 12, 2026
Remote friendly (New York, NY)
United States
IT
Key Responsibilities
- Build and prototype AI-enabled solutions for Oncology R&D workflows and decision-making.
- Develop and maintain data pipelines, feature engineering workflows, and analytical models.
- Apply machine learning to structured and unstructured healthcare data.
- Collaborate with scientific and product partners to deliver usable tools.
- Iterate quickly with production scaling support as appropriate.
- Contribute to engineering standards, documentation, and best practices.
Qualifications
Basic Qualifications
- Bachelor’s + 6+ years OR Master’s + 5+ years OR PhD + 1+ year (advanced degree in CS/ML/AI/computational biology/bioinformatics/statistics/engineering or related strongly preferred).
- Hands-on experience building data, analytics, or ML solutions in healthcare/life sciences/health tech.
- Strong programming skills and experience with modern data/ML tooling.
- Ability to rapidly prototype and adapt based on feedback.
- Strong collaboration and communication.
Preferred Qualifications
- Experience with research or clinical workflows.
- Background in healthcare tech companies or AI startups.
- Exposure to cloud-based data and ML environments.
Compensation & Benefits (as stated)
- Annual base salary: $139,100–$231,900; bonus target 17.5% (Global Performance Plan) and eligibility for long-term incentive.
- 401(k) with matching and additional retirement contribution, paid vacation/holidays/personal days, paid caregiver/parental and medical leave, and medical/prescription/dental/vision coverage.
- Build and prototype AI-enabled solutions for Oncology R&D workflows and decision-making.
- Develop and maintain data pipelines, feature engineering workflows, and analytical models.
- Apply machine learning to structured and unstructured healthcare data.
- Collaborate with scientific and product partners to deliver usable tools.
- Iterate quickly with production scaling support as appropriate.
- Contribute to engineering standards, documentation, and best practices.
Qualifications
Basic Qualifications
- Bachelor’s + 6+ years OR Master’s + 5+ years OR PhD + 1+ year (advanced degree in CS/ML/AI/computational biology/bioinformatics/statistics/engineering or related strongly preferred).
- Hands-on experience building data, analytics, or ML solutions in healthcare/life sciences/health tech.
- Strong programming skills and experience with modern data/ML tooling.
- Ability to rapidly prototype and adapt based on feedback.
- Strong collaboration and communication.
Preferred Qualifications
- Experience with research or clinical workflows.
- Background in healthcare tech companies or AI startups.
- Exposure to cloud-based data and ML environments.
Compensation & Benefits (as stated)
- Annual base salary: $139,100–$231,900; bonus target 17.5% (Global Performance Plan) and eligibility for long-term incentive.
- 401(k) with matching and additional retirement contribution, paid vacation/holidays/personal days, paid caregiver/parental and medical leave, and medical/prescription/dental/vision coverage.