Tenure-Track or Tenured Faculty Positions

The Luddy School of Informatics, Computing and Engineering at Indiana University Indianapolis invites applications for an open-rank tenure-track or tenured faculty positions in the Department of Biomedical Engineering and Informatics (BMEI). The appointment will begin August 1, 2026 at the IU Indianapolis campus. Exceptional faculty candidates are sought to join our fast-growing department. We welcome applications from established researchers with collaborative research teams.

Candidates will be considered from all areas in Biomedical Engineering including bio-nanosystems, health and biomedical informatics including health informatics, clinical informatics, medical informatics, and other related areas. Candidates should demonstrate a strong scholarly record of effective, well-reviewed teaching accompanied by a scholarly record of research, exhibited by high-impact peer-reviewed publications and a forward-looking, research agenda.

By strengthening or complementing the faculty research in the department, the ideal candidates will use creative, innovative approaches and technologies to address fundamental and translational research challenges with broader societal impact, and have the potential to leverage the strengths of Luddy and affiliate with the Integrated Nanosystems Development Institute (INDI), and other campus-wide institutes, the Convergent Bioscience and Technology Institute (CBATI) and the Institute for Human Health and Wellbeing (H2W), the unique location in downtown Indianapolis, interdisciplinary and collaborative environment and nation-wide leadership in the health and life sciences.

IU has also broken ground on a $138 million dollar Launch Accelerator for Biosciences (IULAB) – a first-of-its kind academic-industry initiative to harness Indiana’s extensive resources in bioscience discovery, leading to significant advancements in human health.

Ideal candidates will strengthen and complement existing departmental expertise. Competitive applicants will:

• Conduct high-impact research in bioinformatics, computational biology, biomedical data science, health informatics, clinical informatics, biomedical engineering, medical informatics, biotechnology, or related fields.
• Apply innovative computational, analytical, and technological approaches to address foundational and translational challenges in health and life sciences.
• Demonstrate a strong and productive research program.
• Contribute to the department’s interdisciplinary, collaborative research culture and leverage unique strengths across the Luddy School and partner units.

Candidates from all research areas in bioinformatics, health/biomedical informatics and biomedical engineering are encouraged to apply, including (but not limited to):

• Bioinformatics, computational genomics, omics analytics
• Biomedical data science & AI
• Clinical and health informatics
• Health information technology (HIT), EMR/EHR systems
• Health information exchange (HIE)
• Natural language processing in clinical/biomedical domains
• Mobile health, digital health, human–computer interaction in health
• Learning health systems, community health informatics
• Biomedical sensors and device engineering

The Department of Biomedical Engineering and Informatics (BMEI) is home to a dynamic and interdisciplinary group of 19 faculty members across its Health Informatics, Bioinformatics, Biomedical Informatics (BMI), Health Information Management (HIM), and Biomedical Engineering programs. The department offers a B.S. in HIM, a B.S. in BMI, developing B.S. in BME, an M.S. in Health Informatics, an M.S. in Bioinformatics, an MS in Biomedical Engineering, a Ph.D. in Informatics - Health & Biomedical Informatics Track (changing it to a PhD in Biomedical Engineering & Informatics while also adding BME track).

The faculty in the department conduct groundbreaking, externally-funded (e.g., NIH, NSF, VA, DoD, and other corporate & foundations) research in the areas of Biomedical Engineering including bio-nanosystems, clinical and health informatics, systems interventions, community participatory research, human-computer…