Publisher
source

Pfizer

Postdoctoral Fellow in AI/ML for Drug Metabolite Identification Pfizer in United States

Degree Level

Postdoc

Field of study

Computer Science

Funding

Full funding available

Deadline

December 31, 2026
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Country

United States

University

Pfizer

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Keywords

Computer Science
Chemistry
Biology
Drug Metabolism
Medical Science
Pharmaceutical Chemistry
Statistics
Post Doc
ML

About this position

Pfizer is advertising a postdoctoral fellow opportunity focused on AI/ML for drug metabolite identification. This is a research role for candidates interested in combining computer science, machine learning, chemistry, and biology in a pharmaceutical setting.

The post is shared by Paul Toth, Senior Scientist at Pfizer, based in the United States. The opportunity appears to be located in Groton, Connecticut, and the application is hosted on Pfizer’s Workday careers portal.

No deadline, stipend, or funding package is stated in the post excerpt. The announcement does not list detailed eligibility criteria beyond the research focus, so applicants should check the job posting for required qualifications, experience, and application materials.

To apply, open the Pfizer careers link, review the full postdoctoral fellow description, and submit the application through the portal. The LinkedIn post also includes a short redirect link to the same opportunity.

Funding details

Full funding including tuition fees and living expenses is available for this position. The scholarship covers all educational costs and provides a monthly stipend.

How to apply

Please submit your application including a cover letter, CV, academic transcripts, and contact information for two references. Applications should be sent via the online portal before the deadline.

More information can be found here

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