What are the responsibilities and job description for the Faculty, Biodata Engineering [Req#: 712559, Position#: 119012] position at UT Southwestern Medical Center at Dallas?
Job Details
Description
The Department of Biomedical Engineering (BME) at the University of Texas Southwestern Medical Center (UTSW) in Dallas, TX invites applications for a full-time tenured/tenure track faculty position at the Assistant or Associate Professor level. We seek applications from individuals with research focus on biodata engineering, artificial intelligence (AI), machine learning (ML), data science and data curation for medical applications. Highly qualified senior postdoctoral fellows with outstanding publications and extramural research funding may be eligible for UTSW's prestigious Endowed Scholars program and are strongly encouraged to apply.
We are especially interested in candidates who will provide inspirational leadership in research and initiate collaborative opportunities across the medical center. BME faculty work closely with clinical and basic research faculty in the highly collaborative UTSW Medical Center environment translating new technologies into medical solutions. All faculty members are expected to be enthusiastic mentors to trainees and actively engage in the teaching mission of the department.
Responsibilities
Successful candidates will develop an innovative research program that integrates medical data (imaging, diagnostics, pathology, omics, and related data sets) to predict, monitor and improve human health. The department is particularly interested in the application of AI/ML to functional neuroimaging, biomedical imaging speech and text, and mining clinical data. Candidates with research focus on system data science will work closely with biomedical engineers to establish a program on biodata engineering.
This research focused position will include responsibility for teaching graduate students and mentoring trainees. Specific focus areas of research are open but may include application of artificial intelligence, machine learning and data science.
About the Department of Biomedical Engineering
The UTSW Department of Biomedical Engineering is one of the few placed solely within a medical center, with no undergraduate program. We aim to drive programmatic integration in biomedical engineering and address emerging clinical and scientific challenges in medicine and biology using innovative technologies. Anchored by outstanding faculty, motivated trainees and exceptional clinical and engineering infrastructure the department strives to create innovative systems and methods that will play an active role in transforming the current disease care system into a genuine health care enterprise.
Qualifications
The ideal candidate will have earned a Ph.D., an M.D. or an equivalent degree in Biomedical Engineering or a related field (preferably a degree in Computer Science or Computer Engineering). A demonstrated potential for innovations in biomedical engineering and data technology is desirable. Highly competitive applicants will have education and/or experience in one or more of the following:
Application Instructions
Applicants should apply online and upload:
Applications submitted before December 15, 2025 will receive full consideration, with a targeted start date of June 1, 2026.
The Department of Biomedical Engineering (BME) at the University of Texas Southwestern Medical Center (UTSW) in Dallas, TX invites applications for a full-time tenured/tenure track faculty position at the Assistant or Associate Professor level. We seek applications from individuals with research focus on biodata engineering, artificial intelligence (AI), machine learning (ML), data science and data curation for medical applications. Highly qualified senior postdoctoral fellows with outstanding publications and extramural research funding may be eligible for UTSW's prestigious Endowed Scholars program and are strongly encouraged to apply.
We are especially interested in candidates who will provide inspirational leadership in research and initiate collaborative opportunities across the medical center. BME faculty work closely with clinical and basic research faculty in the highly collaborative UTSW Medical Center environment translating new technologies into medical solutions. All faculty members are expected to be enthusiastic mentors to trainees and actively engage in the teaching mission of the department.
Responsibilities
Successful candidates will develop an innovative research program that integrates medical data (imaging, diagnostics, pathology, omics, and related data sets) to predict, monitor and improve human health. The department is particularly interested in the application of AI/ML to functional neuroimaging, biomedical imaging speech and text, and mining clinical data. Candidates with research focus on system data science will work closely with biomedical engineers to establish a program on biodata engineering.
This research focused position will include responsibility for teaching graduate students and mentoring trainees. Specific focus areas of research are open but may include application of artificial intelligence, machine learning and data science.
About the Department of Biomedical Engineering
The UTSW Department of Biomedical Engineering is one of the few placed solely within a medical center, with no undergraduate program. We aim to drive programmatic integration in biomedical engineering and address emerging clinical and scientific challenges in medicine and biology using innovative technologies. Anchored by outstanding faculty, motivated trainees and exceptional clinical and engineering infrastructure the department strives to create innovative systems and methods that will play an active role in transforming the current disease care system into a genuine health care enterprise.
Qualifications
The ideal candidate will have earned a Ph.D., an M.D. or an equivalent degree in Biomedical Engineering or a related field (preferably a degree in Computer Science or Computer Engineering). A demonstrated potential for innovations in biomedical engineering and data technology is desirable. Highly competitive applicants will have education and/or experience in one or more of the following:
- Biomedical engineering, software engineering, computer science, or related field.
- Track record of scholarly research.
- Familiarity with extramural funding, impactful publications, and excellent technical writing skills.
Application Instructions
Applicants should apply online and upload:
- A curriculum vitae
- A cover letter
- A 2-page summary of research accomplishments and future plans
- A one paragraph description of their three most significant publications (or preprints) that include a link or hyperlink to the publication.
- Names and contact information (e-mail and telephone) of three references
Applications submitted before December 15, 2025 will receive full consideration, with a targeted start date of June 1, 2026.
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