Artificial Intelligence/ Biomedical Analytics - Med Asst Professor Basic

The City University of New York School of Medicine is seeking a full-time, tenure-track Assistant Medical Professor in Basic Science. The role focuses on developing an externally funded research program in artificial intelligence and biomedical analytics, conducting translational research with large-scale biomedical datasets, collaborating across academic and clinical partners, and teaching and mentoring students and healthcare professionals.

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Responsibilities

• 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 biomedical research
• Contribute to the development of educational and training initiatives that strengthen AI and bioinformatics competencies among researchers, physicians, and other healthcare professionals
• Publish scholarly research in peer-reviewed journals and present findings at national and international scientific meetings
• Participate in departmental, school, and university service, including committee work, curriculum development, and other faculty responsibilities
• Perform other duties as assigned by the Chair of the Department

Preferred

• Experience with cloud computing platforms and related technologies
• Demonstrated application of artificial intelligence (AI), machine learning (ML), or advanced analytical techniques to medical imaging, genomics, electronic health records (EHR), and other clinical or preclinical datasets
• Familiarity with healthcare data formats and standards, including DICOM, HL7, and other clinical data protocols
• Record of publications in AI/ML, biomedical informatics, healthcare analytics, or related journals and conferences
• Prior experience working in multidisciplinary academic or medical research environments
• Experience with experimental design, grant proposal development, and scientific manuscript preparation

Benefits

• Health insurance
• Pension and retirement benefits
• Paid parental leave
• Savings programs
• Mentoring and support for research, scholarship, and publication
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Qualifications

• Doctoral degree (Ph.D. or., M.D.,). in Computer Science, Artificial Intelligence, Machine Learning, Bioinformatics, Biostatistics, Data Science, or a closely related field from an accredited institution
• 3-5 years of postdoctoral research experience and an emerging record of scientific publications
• Experience with cloud computing platforms and related technologies
• Demonstrated application of artificial intelligence (AI), machine learning (ML), or advanced analytical techniques to medical imaging, genomics, electronic health records (EHR), and other clinical or preclinical datasets
• Familiarity with healthcare data formats and standards, including DICOM, HL7, and other clinical data protocols
• Record of publications in AI/ML, biomedical informatics, healthcare analytics, or related journals and conferences
• Prior experience working in multidisciplinary academic or medical research environments
• Experience with experimental design, grant proposal development, and scientific manuscript preparation

Required skills

• Bioinformatics, Biostatistics, DICOM, Data Science, Electronic Health Records (EHR), Experimental Design, Genomics, HL7, Machine Learning, Medical Imaging

Experience

• 3-5 years