Open Rank Faculty Position- BiostatisticianPosting Date: 03/22/2022
Closing Date: 08/31/2022
Open Rank Faculty Position – Biostatistician
Department of Population Health Sciences
Joe R. & Teresa Lozano Long School of Medicine
University of Texas Health Sciences Center, San Antonio (UT Health San Antonio)
The Department of Population Health Sciences (PHS) under the Joe R. and Teresa Lozano Long School of Medicine at UT Health San Antonio (UTHSA) invites applications for a doctorate-level faculty biostatistician Open Rank Professor. Hiring track (Tenure or Non-Tenure) to be determined based on the experience and potential.
The PHS department is the home to diverse data science faculty from biostatistics, bioinformatics, and clinical informatics who collaborate across disciplinary boundaries towards the shared mission of bringing people and information together to improve health for all through innovation, data-driven discovery, and transdisciplinary education. Research interests of the faculty include translational science, clinical- and population-based investigation, the application of epidemiological and biostatistical principles to clinical problem solving, formulation of health policy, and new analytic methods for adaptive clinical trial design, health disparities and equity, analysis of electronic health record data, bioinformatics, and deep neural networks.
Research opportunities are available within medical, nursing, and dental fields as well as other health sciences. For candidates interested in cancer research, there are research opportunities with the Mays Cancer Center, one of four NCI-designated Cancer Centers in Texas and the only NCI designated center in South Texas. The Department also has strong research and educational collaborations with the San Antonio Regional Campus of The University of Texas School of Public Health.
Requirements: Candidates for this position must meet the following minimum requirements:
· PhD or equivalent in Biostatistics, Statistics or related field
· Expertise in longitudinal data, causal inference, methods for large healthcare databases, statistical genomics applied to clinical outcomes, or clinical trial design
· Evidence of independent methodological and interdisciplinary collaborative research potential
· Teaching experience
· Proven ability to communicate and lead across quantitative and biomedical fields
· Preference will be given to a candidate with experience in adaptive clinical trials, development of dynamic treatment algorithms, and learning healthcare systems.
Salary/Benefits: UT Health San Antonio offers an excellent benefits package and competitive salary, and the San Antonio area provides an outstanding quality of life, along with a favorable cost of living.
Interested candidates should visit https://uthscsa.referrals.selectminds.com/faculty to apply online, and enter job number 21002515 in the Keyword box. Please upload a letter describing qualifications and interests, a curriculum vitae, and contact information for at least three professional references. Review of applications will begin immediately and continue until the position is filled.
UT Health San Antonio is an Equal Employment Opportunity/Affirmative Action Employer including protected veterans and persons with disabilities. All faculty appointments are designated as security sensitive positions.
Dr. Jonathan Gelfond