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Health Data Science & Biostatistics Faculty
Company Information
The Peter O'Donnell Jr. School of Public Health at UT Southwestern Medical Center was founded with a $100 million transformative gift from the O’Donnell Foundation – the largest founding gift to a school of public health – it has grown rapidly and now includes a multidisciplinary team of 48 primary faculty members, 35 scholars with secondary appointments, and 75 staff who conduct research and prepare the next generation of professionals to address major public health challenges. The school is poised to grow further in a short period of time.
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.
The Peter O’Donnell Jr. School of Public Health (OSPH) at UT Southwestern Medical Center in Dallas is seeking dynamic applicants with an innovative research portfolio for Health Data Sciences and Biostatistics Faculty opportunities.
Candidates should have a strong record of collaborative research, particularly in healthcare or academic medical center environments, along with experience supporting investigators in study design, data analysis, publications, and statistical support for research 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.
Candidates must hold a Ph.D., Sc.D., DrPH, or an equivalent research doctoral degree in biostatistics or a closely related field, completed by the start date. They should demonstrate the ability to conduct impactful scholarly research and a commitment to excellence in teaching and mentoring graduate students. Successful candidates will be highly self-motivated, enthusiastic about scientific discovery, and capable of collaborating effectively within multidisciplinary research teams. A strong desire to partner with healthcare systems, public health agencies, and community organizations to advance health outcomes in Texas and beyond is essential. Candidates should also exhibit a commitment to translational or clinical research collaboration, possess excellent oral and written communication skills, and demonstrate strong time management and multitasking abilities.