Artificial Intelligence/ Biomedical Analytics - Med Asst Professor Basic

Artificial Intelligence/ Biomedical Analytics - Med Asst Professor Basic

FACULTY VACANCY ANNOUNCEMENT

The City University of New York (CUNY) School of Medicine (SoM) is the only medical school in the CUNY system. Our innovative curriculum allows students to complete both their undergraduate Bachelor of Science (BS) and Doctor of Medicine (MD) degrees in seven years. CUNY SoM graduated its first MD class in 2020. In addition, the CUNY SoM offers a two-year Physician Assistant (PA) program to prepare health professionals licensed to practice medicine with physician supervision. Our mission is 1) to provide access to medical education to talented youth from historically underrepresented in backgrounds in medicine and to develop health professionals committed to practicing in under-served communities and 2) to perform innovative research in community health and biomedicine.

The Department of Molecular, Cellular & Biomedical Sciences (MCBS) is a dynamic center of research and innovation, with faculty members leading active, NIH-funded programs in cutting-edge areas, including neuroscience, cardiovascular sciences, and drug discovery. Faculty in the department mentor doctoral students through CUNY Graduate Center programs in neuroscience, cognitive neuroscience, molecular and developmental biology, chemistry, and biochemistry. The MCBS Department at the CUNY School of Medicine invites applications for a full-time, tenure-track faculty position at the rank of Assistant Medical Professor (Basic Science).

Reporting to the Chair of the MCBS department, duties include but at not limited to:

• Develop and maintain an independent, externally funded research program in artificial intelligence (AI), bioinformatics, genomics, computational biology, biostatistics, or a related field.
• Conduct innovative research using large-scale biomedical datasets, including electronic health records (EHR), genomic data, medical imaging, and clinical trial data, to advance translational research and improve health outcomes.
• Collaborate with faculty across the Departments of Molecular, Cellular & Biomedical Sciences, Community Health and Social Medicine, Clinical Medicine, and the Center for Advancing Translational Research and Health (CART), as well as with external academic, clinical, and community partners.
• Develop computational methods, statistical models, and AI-driven approaches to address challenges in healthcare, medical diagnostics, healthcare access and utilization, and precision medicine, with an emphasis on reducing health disparities.
• Secure extramural research funding from federal agencies, foundations, and other sponsors.
• Teach and mentor medical students, graduate students, and trainees in areas related to AI, bioinformatics, data science, and biomedic