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Postdoctoral Fellow in Generative AI Medicine and Science

Job in Harvard, Worcester County, Massachusetts, 01451, USA
Listing for: Laplace Expert Ltd
Full Time position
Listed on 2026-10-23
Job specializations:
  • Research/Development
    AI Business & Operations, Data Scientist, AI Evaluation
Salary/Wage Range or Industry Benchmark: 65000 - 85000 USD Yearly USD 65000.00 85000.00 YEAR
Job Description & How to Apply Below
Postdoctoral Fellow in Generative AI for Medicine and Science at Harvard

Massachusetts

29 Sep 2026

About This Opportunity

Harvard Medical School is recruiting a postdoctoral fellow in the Zitnik Lab to lead research in generative, multimodal and agentic AI for medicine and science.

This postdoctoral fellowship in the Zitnik Lab at Harvard Medical School focuses on artificial intelligence for medicine and science. The selected fellow will conduct research in generative, multimodal and agentic AI, foundation models, geometric deep learning, large-scale knowledge graphs and large language models, with applications to scientific discovery and precision medicine. The appointment is salaried, benefits-eligible and renewable annually.

Generative AI Agentic AI Multimodal learning Foundation models Geometric deep learning Knowledge graphs Large language models

Level Postdoc

Field Generative AI for Medicine and Science

Specialization Artificial Intelligence & Data Science

Organization Type University

Funding & Compensation

Amount Paid

Funding Type Salary

Funding Status Paid

Requirements

Education

PhD or MD/PhD in machine learning, computer science or a closely related field.

Experience

Strong research skills evidenced by multiple publications in top-tier machine learning or artificial intelligence conferences and/or leading scientific journals. Experience applying AI to biology and medicine is a strong plus.

Technical Skills

Agentic AI Geometric deep learning Large-scale knowledge graphs Large language models Multimodal learning Generative AI Machine learning frameworks Multi-GPU model training Large-scale inference

General Skills

Research leadership Scientific writing Real-world problem orientation Independent research

Languages

Applicants should hold a PhD or MD/PhD in machine learning, computer science or a closely related field.

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