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Clinical Data Scientist, Assistant/Associate Professor, Biomedical Informatics (Tenure-Track)

Full-time

SUNY, Stony Brook University

Clinical Data Scientist, Assistant/Associate Professor, Biomedical Informatics (Tenure-Track)

Location: Stony Brook, New York
Open Date: Aug 28, 2026
Deadline: Nov 28, 2026 at 11:59 PM Eastern Time

Description
The Department of Biomedical Informatics at Stony Brook University invites applications for a tenure-track faculty position at the Assistant or Associate Professor rank with a focus on Clinical Data Science. We seek an outstanding scientist, physician-scientist, or clinically oriented informatics scholar committed to advancing the field of clinical data science and improving human health through innovative research, translation and education. The successful candiate will be expected to establish and externally funded research program that leverages real-world clinical data, data science, and artificial intelligence to drive biomedical discovery, improve clinical care, and support data-informed decision-making. Areas of interest include, but are not limited to, advanced electronic health record-based phenotyping and predicitive modeling; machine learning; foundation models, and generative AI for clinical and biomedical applicaitons; real-world evidence generation and causal inference; clinical decision support; clinical natural language process; trustworthy, interpretable, and responsible AI; implementation and evaluation of informatics interventions; and analytic methods that support clinical, translational, operational, and population health decision-making. This position is intended to strengthen the Department's research portfolio in clinical data science while advancing translational clinical informatics through methods, tools, and studies that can be evaluated, piloted, and deployed in real-world research and clinical environments. The successfull candidate will be encouraged to collaborate across Stony Brook Medicine, College of Engineering and Applied Sciences, and other University units to develop high-impact research programs that bridge methodological innovation with clinical and translational needs. The faculty member will also contribute to graduate teaching, mentor students and trainees, and provide services to the Department, School, University, and broader professional community. Candidates considered for appointment at the Associate Professor level will typically have an established record of independent scholarship, external funding, national recognition, interdisciplinary research leadership, and mentorship of students and trainees. Experience leading clinical data science or informatics initiatives that bridge methodological innovation with real-world clinical, translational, or health-system impact is highly desireable.

Qualifications
Required Qualifications:

  • Ph.D. degree (or foreign equivalent) in Biomedical Informatics, Articial Intelligence, Data Science, Computer Science, or a related field.
  • In lieu of a Ph.D. degree, a M.D. degree (foreign equivalent or higher) with clinical informatics or data science training, or with a Masters degree (foreign equivalent or higher) with a focus on clinical informatics or data science.


Preferred Qualifications:

  • Record of scholarly productivity or strong potential for scholarly productivity in clinical data science.
  • Demonstrated ability or strong potential to establish an independent research program and contribute to interdisciplinary research teams.
  • For appointment at the Associate Professor level, an established record of funded research, sustained scholarly productivity, national recognition, and successful mentorship is preferred.


Application Instructions
To apply, visit .

All application materials must be submitted online. Please use the Apply Now button to begin your application. For technical support, please visit Interfolio's Support Site () or reach out to their Scholar Service Team at View email address on us.fitly.work or View phone number on us.fitly.work.

For questions regarding this position, please contact Joseph Cesaria at View email address on us.fitly.work .

Special Notes:
Tenure Track Position. FLSA Exempt position, not eligible for the overtime provision of the FLSA. To qualify for tenure and/or a senior faculty appointment, the candidate must meet the criteria established by the School of Medicine (School of Medicine's Criteria for Appointment, Promotion and Tenure).

Campus Description:
Long Island's premier academic medical center, Stony Brook Medicine, represents Stony Brook University's entire medical enterprise and integrates all of Stony Brook's health-related initiatives: education, research and patient care. It encompasses Stony Brook University Hospital, Stony Brook Children's Hospital, the five Health Sciences schools -- Dental Medicine, Health Professions, Medicine, Nursing and Social Welfare -- as well as the major centers and institutes, programs and more than 50 community-based healthcare settings throughout Suffolk County. With 624 beds, Stony Brook University Hospital serves as Suffolk County's only tertiary care center and Regional Trauma Center. Stony Brook Children's, with more than 180 pediatric specialists in 30 specialties, offers the most advanced pediatric specialty care in the region. In the Medical and Research Translation (MART) building, two floors are occupied by Stony Brook University Cancer Center's outpatient services, and four floors are devoted to cancer research. Diversity, equity and inclusion are essential core values at Stony Brook Medicine. We believe we do our best and most impactful work when we leverage our diverse, equitable and inclusive perspectives. We are proud to recruit and hire talented people from a wide variety of backgrounds and experiences.

The selected candidate must successfully clear a background investigation.

In accordance with the Title II Crime Awareness and Security Act, a copy of our crime statistics is available upon request . It can also be viewed online at the University Police website at .

Stony Brook University is committed to excellence in diversity and the creation of an inclusive learning, and working environment. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, sex, pregnancy, familial status, sexual orientation, gender identity or expression, age, disability, genetic information,veteran status and all other protected classes under federal or state laws.

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