Technology Associate Jobs in Charlottesville, VA

The Center for Diabetes Technology (CDT) and the University of Virginia (UVA) School of Medicine invites applicants for multiple Postdoctoral Research Associates for their research team, focusing on highly complex technology, algorithm development and data management and analysis. CDT is a recognized world leader in the technological treatment of diabetes and the hub of an international research network of leading U.S. institutions. We advance the use of technology, including analytics, to allow improved data and operational management, monitoring, and therapies for patients with Type 1 and Type 2 Diabetes. The Postdoctoral Research Associates will report to Marc Breton, PhD. Dr. Marc Breton was chosen as the recipient of the 2022 Edlich-Henderson Innovator of the Year award. Teaming with Dr. Boris Kovatchev, Breton went on to create the first - and to date only - simulation environment accepted by the U.S. Food & Drug Administration as a replacement for animal studies in pre-clinical assessment of insulin treatment strategies. It paved the way for the pair's invention of a revolutionary artificial pancreas that could monitor and automatically regulate a person's blood glucose levels. Overall, Breton has submitted 55 invention disclosures to LVG since 2007, and he is a named inventor on 27 issued U.S. patents. Today, the work that Breton started when he was a post-doc nearly 20 years ago continues to improve the lives of people with diabetes around the world. His work epitomizes UVA's commitment to biotechnology and its promise of saving and improving lives. https://news.virginia.edu/content/uva-innovator-year-marc-bretons-surprise-journey-diabetes-pioneer
The CDT is directed by Boris Kovatchev, PhD, a world-renowned researcher in the field of Diabetes, algorithm development and data science. Dr. Kovatchev is a regular lecturer at Universities and Conferences throughout the US and Europe. He is actively involved with Center projects and with the direction and education of all post-doctoral candidates. With substantial NIH funding, the Center led and successfully completed the three largest randomized Artificial Pancreas(AP) clinical trials in the World to date , including a pivotal trial aiming for regulatory clearance of a new AP System (that included the algorithm program developed at the Center), published on October 16, 2019 in the New England Journal of Medicine . For more information visit: https://med.virginia.edu/diabetes-technology/
Successful candidates will be afforded the opportunity to continue their research under the supervision of a team of accomplished faculty members and physicians. As well, incumbents will be able to conduct independent translational research in biotechnology, biomedical engineering, advanced mathematics, and Data Science that will not only be essential to the programs of CDT faculty members; but will impact future healthcare programs and therapeutics for improved patient care. Incumbents will perform high-profile, NIH-funded and other sponsored research in an interdisciplinary international research setting and be a regular attendee at diabetes and technology conferences.
Successful candidates will be expected to:

• Conduct supervised and independent research for the Center for Diabetes Technology and expand Center-related research lines in:
• Use of machine learning methods for risk prediction, control, classification, and treatment progression
• Metabolic and behavioral computer simulations related to diabetes and pre-diabetes.
• Modeling, simulation and model-based analysis of glucose metabolism and control.
• Validation and testing of in silico-designed treatments and diabetes-related technology.
• In addition to the above job responsibilities, other duties may be assigned .

There are no clinical responsibilities associated with this position. However, the successful candidate will have regular access to physicians through the UVA School of Medicine.
Qualified candidates must have:
Education: Doctoral degree completed at time of hire.
Preferred requirements:
Research experience in machine learning, biotechnology, biomedical engineering, advanced mathematics or (Diabetes) Data Science.
Salary will be commensurate with education and experience.
This is an exempt-level, benefited position. Learn more about UVA benefits .
Postdoctoral employment is normally limited to an individual who has been awarded a doctoral degree within the previous five years. This is a 12-month appointment with the possibility of renewal (for an additional two, one-year increments) contingent upon satisfactory performance and the availability of funding.
This position is based in Charlottesville, VA, and must be performed fully on-site.
About UVA and the Community
To learn more about UVA and in the Charlottesville area, visit UVA Life and Embark CVA .
Background checks and pre-employment health screenings will be conducted on all new hires prior to employment.
How to Apply
Please apply online , by searching for requisition number R0081079. Complete an application with the following documents:

• Resume
• Cover Letter

Upload all materials into the resume submission field. You can submit multiple documents into this one field or combine them into one PDF. Applications without all required documents will not receive full consideration.
Internal applicants: Search and apply for jobs on the UVA Internal Careers website .
Reference Check Process
Reference checks will be completed by UVA's third-party partner, SkillSurvey, during the final phase of the interview. Five references will be requested, with at least three responses required.
Contact
For questions about the application process, please contact Jeremy Brofft, Senior Academic Recruiter at xmf9ad@virginia.edu .
Job Profile
J0267 - Research Associate - 12 Month
Career Stream and Level
No Career Stream-No Level
The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Learn more about UVA's commitment to non-discrimination and equal opportunity employment .