Iman Hajirasouliha
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Postdoctoral Associate in AI for Reproductive Medicine Weill Cornell Medicine in United States
Degree Level
Postdoc
Field of study
Computer Science
Funding
Postdoctoral Associate salary starts at $75,812, commensurate with the Weill Cornell Medicine Postdoctoral Union collective bargaining agreement. Benefits are available through Weill Cornell Medicine Human Resources. Visa support may include J-1 Exchange Visitor and H-1B temporary worker eligibility.
Deadline
Jul 31, 2026
Country
United States
University
Weill Cornell Medicine
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About this position
Weill Cornell Medicine is advertising a Postdoctoral Associate in AI for Reproductive Medicine in the Hajirasouliha Lab, within the Department of Systems and Computational Biomedicine and the Englander Institute for Precision Medicine. The project focuses on the next generation of AI models for reproductive medicine, including large-scale foundation models, multimodal learning, and clinically deployable tools designed to improve patient outcomes.
The role is research-intensive and translational. Responsibilities include independent and collaborative research with clinical and computational colleagues, designing and training deep-learning methods, building robust product- and clinical-grade systems, managing research data and codebases, contributing to abstracts and publications, and supporting intellectual property and translational efforts. The lab highlights exposure to patented technologies, entrepreneurship, and direct collaboration across the Tri-Institutional community.
Study keywords: artificial intelligence, machine learning, deep learning, generative AI, computational biology, biomedical engineering, medical imaging, foundation models, multimodal learning, clinical translation, MLOps, reproductive medicine.
Eligibility: applicants should have a Ph.D. completed or expected shortly in machine learning, computer science, computational biology, biomedical engineering, or a related field, with strong deep-learning and generative-AI skills. Candidates without a Ph.D. but with equivalent research or industry experience may be considered for a comparable Staff or Research Associate position. Preferred experience includes software engineering, model deployment/MLOps, medical imaging, foundation models, and clinical/regulatory translation.
Funding and terms: the starting salary is $75,812, with benefits and union coverage under the Weill Cornell Medicine Postdoctoral Union collective bargaining agreement. The appointment is offered for 1 year with possible renewal, and visa options may include J-1 and H-1B support.
Location: Weill Cornell Medicine main campus, New York, NY, United States.
Application: review is rolling, with priority for applications received by July 31. Applicants should email Dr. Iman Hajirasouliha with a CV and a short note describing their interest in the project.
Funding details
Postdoctoral Associate salary starts at $75,812, commensurate with the Weill Cornell Medicine Postdoctoral Union collective bargaining agreement. Benefits are available through Weill Cornell Medicine Human Resources. Visa support may include J-1 Exchange Visitor and H-1B temporary worker eligibility.
What's required
A Ph.D. completed or expected shortly in machine learning, computer science, computational biology, biomedical engineering, or a related field is required, with strong deep-learning and generative-AI skills. Exceptional candidates without a Ph.D. but with equivalent research and/or industry experience may be considered for a comparable Staff or Research Associate position. Preferred experience includes software engineering, model deployment/MLOps, medical imaging, foundation models, and clinical/regulatory translation such as software as a medical device. Letters of recommendation will be requested during review.
How to apply
Email Dr. Iman Hajirasouliha with your CV and a short note explaining your interest in the work. Applications are reviewed on a rolling basis, with priority given to applications received by July 31.
More information can be found here
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