Postdoctoral Fellow, AI/ML for Computational Pathology
Pfizer
6 months ago
Remote friendly (La Jolla, CA)
United States
Clinical Research and Development
What You Will Achieve
- Conduct research and development activities to support discovery and development of new therapies.
- Develop and apply foundational AI models for analysis and classification of whole slide images.
- Present research work at internal/external meetings and publish in high-impact journals.
- Contribute to the design and analysis of pathology images.
- Collaborate with Pathologists, Laboratory Scientists, and Computational Scientists.
- Represent Pfizer at scientific conferences by presenting research data.
- Build team skills and a culture of scientific excellence and continuous learning.
- Make decisions using technical knowledge under supervision.
Minimum Qualifications (must Have)
- PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or related field with 0–2 years work experience.
- Less than 2 years post-degree experience.
- Willingness to make a minimum 2-year commitment.
- Scientific accomplishments evidenced by publications/presentations, including at least one first-author peer-reviewed journal/conference proceeding.
- Two letters of recommendation required prior to interview stage.
- Expertise developing/deploying minimally supervised or unsupervised AI models for classification of pathology whole slide images (H&E) from nonclinical species.
- Deep expertise in Python and version control.
- Comfort working in Unix and Windows.
- Excellent communication and writing skills.
- Ability to work collaboratively in a team environment.
Bonus Points (Preferred)
- Proficiency in data analysis software/tools.
- Experience with common AI tools (e.g., ChatGPT, Microsoft Copilot).
- Experience with vision transformers, foundational models, transfer learning, or zero-shot/few-shot learning.
- Experience with software life cycle management.
Additional Information / Application
- Relocation support available.
- Work location: Hybrid.
- Last day to apply: April 30, 2026.
Benefits (as stated)
- 401(k) with matching contributions and additional retirement savings contribution; paid vacation/holidays/personal days; paid caregiver/parental and medical leave; medical/prescription/dental/vision coverage.
- Base salary range: $64,600.00–$107,600.00; bonus target 7.5% (Global Performance Plan).
- Conduct research and development activities to support discovery and development of new therapies.
- Develop and apply foundational AI models for analysis and classification of whole slide images.
- Present research work at internal/external meetings and publish in high-impact journals.
- Contribute to the design and analysis of pathology images.
- Collaborate with Pathologists, Laboratory Scientists, and Computational Scientists.
- Represent Pfizer at scientific conferences by presenting research data.
- Build team skills and a culture of scientific excellence and continuous learning.
- Make decisions using technical knowledge under supervision.
Minimum Qualifications (must Have)
- PhD in Computer Science, Electrical Engineering, Biomedical Engineering, or related field with 0–2 years work experience.
- Less than 2 years post-degree experience.
- Willingness to make a minimum 2-year commitment.
- Scientific accomplishments evidenced by publications/presentations, including at least one first-author peer-reviewed journal/conference proceeding.
- Two letters of recommendation required prior to interview stage.
- Expertise developing/deploying minimally supervised or unsupervised AI models for classification of pathology whole slide images (H&E) from nonclinical species.
- Deep expertise in Python and version control.
- Comfort working in Unix and Windows.
- Excellent communication and writing skills.
- Ability to work collaboratively in a team environment.
Bonus Points (Preferred)
- Proficiency in data analysis software/tools.
- Experience with common AI tools (e.g., ChatGPT, Microsoft Copilot).
- Experience with vision transformers, foundational models, transfer learning, or zero-shot/few-shot learning.
- Experience with software life cycle management.
Additional Information / Application
- Relocation support available.
- Work location: Hybrid.
- Last day to apply: April 30, 2026.
Benefits (as stated)
- 401(k) with matching contributions and additional retirement savings contribution; paid vacation/holidays/personal days; paid caregiver/parental and medical leave; medical/prescription/dental/vision coverage.
- Base salary range: $64,600.00–$107,600.00; bonus target 7.5% (Global Performance Plan).