Senior Manager, Scientific AI Engineer
Pfizer
August 12, 2026
Remote friendly (La Jolla, CA)
United States
IT
Key Responsibilities:
- Design, develop, and prototype AI/ML solutions addressing Oncology discovery, translational, and clinical development challenges.
- Apply advanced analytical and machine learning methods to multimodal datasets (e.g., molecular, clinical, real-world, literature).
- Own solutions end-to-end, from problem framing and data exploration through model development and user-facing outputs.
- Collaborate with domain experts to ensure solutions are scientifically grounded and decision-relevant.
- Rapidly iterate on prototypes based on user feedback and evolving scientific needs.
- Contribute technical expertise to solution design discussions led by the Oncology AI Product & Engineering Lead.
- Document methods, assumptions, and limitations to support transparency and responsible AI practices.
Basic Qualifications:
- Bachelor’s degree with 6+ years relevant experience OR Master’s with 5+ years OR PhD with 1+ year; advanced degree in computational biology, data science, machine learning, engineering, or related field strongly preferred.
- Demonstrated experience building applied AI/ML solutions in life sciences, healthcare, or advanced analytics.
- Strong hands-on programming skills (e.g., Python) and experience with data pipelines and ML frameworks.
- Solid understanding of Oncology biology, translational science, or clinical development workflows.
- Ability to operate independently in ambiguous problem spaces and deliver working prototypes.
Preferred Qualifications:
- Experience in pharma/biotech or AI-driven health tech startups.
- Familiarity with AI product prototyping approaches vs long-cycle production.
- Experience working with large, heterogeneous Oncology R&D datasets.
Benefits (explicitly stated):
- Annual base salary: $139,100.00–$231,900.00; bonus target 17.5% and eligibility for share-based long-term incentives; comprehensive benefits including 401(k) with matching, paid vacation/holidays/personal days, caregiver/parental and medical leave, and medical/dental/vision coverage.
- Design, develop, and prototype AI/ML solutions addressing Oncology discovery, translational, and clinical development challenges.
- Apply advanced analytical and machine learning methods to multimodal datasets (e.g., molecular, clinical, real-world, literature).
- Own solutions end-to-end, from problem framing and data exploration through model development and user-facing outputs.
- Collaborate with domain experts to ensure solutions are scientifically grounded and decision-relevant.
- Rapidly iterate on prototypes based on user feedback and evolving scientific needs.
- Contribute technical expertise to solution design discussions led by the Oncology AI Product & Engineering Lead.
- Document methods, assumptions, and limitations to support transparency and responsible AI practices.
Basic Qualifications:
- Bachelor’s degree with 6+ years relevant experience OR Master’s with 5+ years OR PhD with 1+ year; advanced degree in computational biology, data science, machine learning, engineering, or related field strongly preferred.
- Demonstrated experience building applied AI/ML solutions in life sciences, healthcare, or advanced analytics.
- Strong hands-on programming skills (e.g., Python) and experience with data pipelines and ML frameworks.
- Solid understanding of Oncology biology, translational science, or clinical development workflows.
- Ability to operate independently in ambiguous problem spaces and deliver working prototypes.
Preferred Qualifications:
- Experience in pharma/biotech or AI-driven health tech startups.
- Familiarity with AI product prototyping approaches vs long-cycle production.
- Experience working with large, heterogeneous Oncology R&D datasets.
Benefits (explicitly stated):
- Annual base salary: $139,100.00–$231,900.00; bonus target 17.5% and eligibility for share-based long-term incentives; comprehensive benefits including 401(k) with matching, paid vacation/holidays/personal days, caregiver/parental and medical leave, and medical/dental/vision coverage.