The Data Scholars Program is a one-year program that combines training in data analytics with mentored support for a data-oriented project in the faculty member’s clinical area. Data Scholars will receive:
- 20% salary support (up to NIH annual salary cap: $199,300 + fringe)
- Scholars are required to dedicate 20% effort to the program. The sponsoring department or college may be required to supplement support to meet the 20% salary (per NIH salary cap requirements). Salary supplementation may be from a variety of sources except federal funds.
- Tuition support up to a maximum of $2,500/semester and $5,000/year for customized, didactic training. Scholars may enroll in course work as degree seeking or non-degree seeking students. Data scholars are expected to successfully complete at least 6 credit hours of data science or data analytics courses in the following programs (see Appendix 1 for course listing):
- Graduate Healthcare Analytics certificate or MS program offered by the College of Public Health.
- Graduate coursework in a data analytics related course available in the following graduate programs:
- College of Pharmacy – Pharmaceutical Evaluation and Policy: (PEP) MS/PhD
- College of Public Health – Health Systems and Services Research: PhD
- College of Public Health – Health Care Analytics: Certificate, MS
- College of Medicine – Biomedical Informatics: Certificate, MS, PhD
- Graduate coursework offered at other University of Arkansas System Schools
- University of Arkansas Fayetteville College of Engineering
- University of Arkansas at Little Rock Department of Computer Science
- Close mentoring from UAMS TRI faculty and staff in developing a research project in the Data Scholar’s clinical area of interest using existing UAMS data resources (e.g UAMS Enterprise Data Warehouse, LifeLink, Arkansas All Payers Claims Data, Healthcare Cost and Utilization Project) or publicly available data. Available databases can be found here.
Eligible applicants must:
- Hold a terminal degree as described above
- Have at least a 50% appointment at UAMS, ACH, or CAVHS (preference given to faculty with 100% appointments)
- Be able to devote 20% effort for 12 months starting July 1, 2021, documented by the applicants Supervisor
It is recommended that the applicant propose to use:
- Existing TRI data resources or data resources already available to UAMS/ACH faculty. Funding to acquire new data will not be provided.
- A multidisciplinary, team science approach to accomplish the research and training goals.