Research Assistant Professor in Artificial Intelligence and Health Sciences

University at Buffalo; Buffalo (NY); On-site; USD 90,000 - 130,000; Full time

Job summary

The Institute for Artificial Intelligence and Data Science at the University at Buffalo, State University of New York, seeks a Research Assistant Professor in AI and Health Sciences to advance interdisciplinary research at the AI-health interface.

You will develop and apply AI methods to large-scale biomedical data, including imaging, genomics and clinical data, and you will synthesize advances across health domains.

Qualifications

• Ph.D. in a closely related field as listed in the requirements.
• Proven AI/ML background with biomedical or health science applications.
• Strong publication record in AI, ML, bioinformatics, or related fields.

Responsibilities

• Conduct interdisciplinary AI research at the intersection of AI, ML and health sciences.
• Perform comprehensive literature reviews on AI and health sciences.
• Collaborate with interdisciplinary teams to identify research directions and opportunities.
• Publish peer‑reviewed work and contribute to new interdisciplinary initiatives.

Skills

AI

Machine learning

Statistics

Computational sciences

Interdisciplinary collaboration

Research productivity

Education

Ph.D. in bioinformatics / computational biology / CS / engineering / math / biomedical informatics

Tools

Python

R

MATLAB

Job description

The Institute for Artificial Intelligence and Data Science at the University at Buffalo, State University of New York, is seeking a highly motivated Research Assistant Professor in Artificial Intelligence (AI) and Health Sciences.

The successful candidate will conduct interdisciplinary research at the intersection of AI, machine learning, and health sciences. The primary research focus will be on developing and applying innovative AI methods to address computational challenges associated with large-scale, high-dimensional biomedical data, including medical imaging, genomics, and clinical data. The candidate will work closely with investigators across AI, biomedical research, and health sciences to develop computational approaches that address important biomedical and clinical problems. In addition to conducting original research, the successful candidate will perform comprehensive and systematic literature reviews of emerging developments at the intersection of AI and health sciences. The candidate will synthesize advances across multiple health science domains, identify major research trends, unmet needs, methodological gaps, and opportunities where AI could have significant impact, and use these insights to help develop new interdisciplinary research directions and collaborations. The ideal candidate will have interdisciplinary training and demonstrated experience bridging methodological AI research and biomedical or health science applications.

Qualifications

• Ph.D. in bioinformatics, computational biology, computer science, electrical or computer engineering, mathematics, statistics, biomedical informatics, or a closely related field.
• Strong background in AI, machine learning, statistics, and computational sciences.
• At least three years of research experience developing and/or applying AI and machine learning methods to biomedical or health science applications.
• Proficiency in Python, R, MATLAB, or other relevant programming languages and computational tools.
• Demonstrated research productivity, preferably evidenced by peer-reviewed publications in AI, machine learning, bioinformatics, biomedical informatics, or related areas.
• Strong written and oral communication skills.
• Ability to work effectively both independently and as part of interdisciplinary research teams.