Virginia Department of Human Resource Management
Research Associate, Center for Diabetes Technology (UVA)
Virginia Department of Human Resource Management, Charlottesville, Virginia, United States, 22902
Research Associate, Center for Diabetes Technology (UVA)
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. 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. To apply, please visit UVA job board and search for R0047490. Complete an application online with the following documents: CV/Resume Cover letter Contact information for three references. This position will remain open until filled. This position will sponsor applicants for work visas. This is a restricted position; continuation is dependent on funding and satisfactory performance. This position is located in Charlottesville, Virginia. This is a full-time benefited position. For more information on the benefits at UVA, visit www.hr.virginia.edu/benefits. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA's commitment to non-discrimination and equal opportunity employment.
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. 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. To apply, please visit UVA job board and search for R0047490. Complete an application online with the following documents: CV/Resume Cover letter Contact information for three references. This position will remain open until filled. This position will sponsor applicants for work visas. This is a restricted position; continuation is dependent on funding and satisfactory performance. This position is located in Charlottesville, Virginia. This is a full-time benefited position. For more information on the benefits at UVA, visit www.hr.virginia.edu/benefits. The University of Virginia is an equal opportunity employer. All interested persons are encouraged to apply, including veterans and individuals with disabilities. Click here to read more about UVA's commitment to non-discrimination and equal opportunity employment.