Research Scientist

The University of Virginia School of Medicine Center of Diabetes Technology (CDT) seeks a Research Scientist to work in the research center under the direction of Professor Marc Breton, PhD, world-renowned researcher in the field of diabetes and data science. The center maintains strong ties with the Schools of Engineering and Applied Science and the School of Data Science. The candidate will join the center's highly collaborative research group.

Successful candidates will join CDT engineering group and participate in multiple projects focused on the design, testing, and deployment of technology-based interventions to improve diabetes management and clinical outcomes. Center projects are by nature varied and require interdisciplinary activities with specific focus on mathematical modelling of physiological processes and behaviors, signal processing and information extraction, automatic control, simulation, code development, and software deployment.

Successful candidates must have effective oral and written communication skills as evidenced by a solid track record of scientific manuscripts and presentations.

Minimum Requirements:
Education: Requires a doctoral degree or master's degree with significant experience.
Experience: None
Licensure: None

Preferred Qualifications:

Education:Ph.D. in Engineering, Data Science, Mathematics, or Applied Mathematics. All But Dissertation status may be accepted. Master's degree in the field above with at least 5 years' research experience may be accepted. Preference given to applicants with post-doctoral research experience.

PHYSICAL DEMANDS
This is primarily a sedentary job involving extensive use of desktop computers. The job does occasionally require traveling some distance to attend meetings, and programs.

The University of Virginia, including the UVA Health System which represents the UVA Medical Center, Schools of Medicine and Nursing, UVA Physician's Group and the Claude Moore Health Sciences Library, are fundamentally committed to the diversity of our faculty and staff. We believe diversity is excellence expressing itself through every person's perspectives and lived experiences. We are equal opportunity and affirmative action employers. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity or expression, marital status, national or ethnic origin, political affiliation, race, religion, sex (including pregnancy), sexual orientation, veteran status, and family medical or genetic information.