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Professor Medical Imaging Machine Learning Jobs

Baylor College of Medicine

WI · On-site

$125 - $150/hr

... imaging repository, clinical registry, biobank integration). * Implement machine learning, deep ... Experience working in academic medical centers or translational research environments.

Natera

Machine Learning Scientist, Multimodal AI

$124K - $171K/yr

Core experience developing machine learning models for biomedical applications, specifically in medical imaging, computational pathology, genomics, transcriptomics, multi-omics, or molecular ...

Cscc

Instructor - Medical Imaging

Columbus, OH

$54K/yr

Faculty members are classified according to the ranks of Instructor, Assistant Professor, Associate ... Instruction & Student Learning * Teaches assigned courses as scheduled and assumes primary ...

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Professor Medical Imaging Machine Learning information

What does a professor of medical imaging machine learning do?

A Professor of Medical Imaging Machine Learning is an academic expert who researches and teaches how artificial intelligence and machine learning techniques can be applied to analyze medical images, such as X-rays, MRIs, and CT scans. They develop new algorithms and computational models to assist in the diagnosis and treatment of diseases by extracting meaningful information from medical images. In addition to conducting original research, they often supervise students, collaborate with clinicians and scientists, and publish their findings in scientific journals.

What are the key skills and qualifications needed to thrive as a professor of medical imaging machine learning?

To thrive as a Professor of Medical Imaging Machine Learning, you need a strong background in medical imaging, machine learning, and advanced degrees such as a PhD in a related field. Expertise with programming languages (e.g., Python, MATLAB), deep learning frameworks (e.g., TensorFlow, PyTorch), and experience publishing in peer-reviewed journals are typically required. Exceptional communication, mentorship, and interdisciplinary collaboration skills help foster innovation and support students and research teams. These skills are crucial for advancing research, teaching effectively, and contributing to the development of cutting-edge medical imaging technologies.

How does a professor of medical imaging machine learning typically collaborate with clinical and research teams?

Professors in Medical Imaging Machine Learning often work closely with multidisciplinary teams, including radiologists, computer scientists, and clinical researchers. Collaboration involves jointly designing research studies, interpreting imaging data, and developing machine learning algorithms tailored to clinical needs. Effective communication is essential, as professors must translate complex technical concepts for diverse stakeholders and ensure that solutions are both scientifically rigorous and clinically relevant. Such teamwork not only advances research but also helps integrate new technologies into healthcare practice.

What are popular job titles related to Professor Medical Imaging Machine Learning jobs?

For Professor Medical Imaging Machine Learning jobs, the most frequently searched job titles are:

Infographic showing various Professor Medical Imaging Machine Learning job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 91% Physical, 1% Hybrid, and 8% Remote job distribution.

Artificial Intelligence/ Biomedical Analytics - Med Asst Professor Basic

Manhattan, NY • On-site

City University of New York
Colleges, Universities, and Professional Schools • 10K+ employees
Learn more about City University of New Yorkexternal

$100 - $125/hr

Other

Medical, Retirement

Posted 7 days ago

City University of New York rating

7.5

Company rating: 7.5 out of 10

Based on 53 frontline employees who took The Breakroom Quiz

290th of 633 rated colleges and universities

Job description

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 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
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
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.
COMPENSATION

Salary Range: $80,982 – $128,748

Salary commensurate with education and experience.

CUNY offers faculty a competitive compensation and benefits package covering health insurance, pension and retirement benefits, paid parental leave, and savings programs. We also provide mentoring and support for research, scholarship, and publication as part of our commitment to ongoing faculty professional development.

CLOSING DATE

Open until filled. Review of resumes to begin on July 30, 2026.

JOB SEARCH CATEGORY

CUNY Job Posting: Faculty

EQUAL EMPLOYMENT OPPORTUNITY

CUNY encourages people with disabilities, minorities, veterans and women to apply. At CUNY, Italian Americans are also included among our protected groups. Applicants and employees will not be discriminated against on the basis of any legally protected category, including sexual orientation or gender identity. EEO/AA/Vet/Disability Employer.

Job ID: 32510

Location: CUNY School of Medicine

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