Ideal candidates will have a strong record of collaborative research, particularly in healthcare or academic medical center environments, and experience supporting investigators in study design, data analysis, publications, and statistical support for grant proposals. A PhD in Computer Science, Engineering, Statistics, or a related field is required. Preference will be given to those with expertise in survey methods, predictive modeling, EHR data, or large population data analysis, such as Medicare Claims data. Additional consideration will be given to candidates with experience in medical imaging analysis, machine learning/AI, causal inference, or genomics. Expertise in developing statistical methods relevant to clinical research, including novel clinical trial designs and the analysis of large-scale EHR data, is highly desirable.

UT Southwestern is a renowned research powerhouse, home to six Nobel Prize winners, 26 National Academy of Sciences members, 19 National Academy of Medicine members, and 14 Howard Hughes Medical Institute Investigators. It ranks among Forbes’ top 20 large employers and employs 2,900 full-time faculty who secure over $524 million in annual research funding. U.S. News & World Report ranks it a Top 20 Honor Roll hospital and the No. 1 hospital in Texas for the seventh consecutive year. It is No. 3 globally in the 2023 Nature Index for published research and offers extensive data access through its health system and affiliated institutions.

Dallas offers unique academic and research opportunities within a culturally rich environment. Ranked No. 4 in diversity in the U.S., the region boasts a majority-minority population, with 41% Hispanic and 24% African American residents. The Dallas-Fort Worth metropolitan area, home to 7.8 million people across 13 counties and 9,000 square miles, provides an unparalleled setting for population research, allowing investigators to leverage the area’s diverse community for impactful studies.