Careers in Population and Data Sciences

UT Southwestern Medical Center is an Equal Opportunity/Affirmative Action Employer. Open positions are listed below, or visit UT Southwestern Careers for other career opportunities on campus.

Assistant or Associate Professor
Director of Research, Moncrief Cancer Institute

The Department of Population and Data Sciences and the Moncrief Cancer Institute seeks applications for faculty with a research focus on reducing chronic disease prevalence in communities. The ideal candidate will build the Research Program for Moncrief Cancer Institute. The right candidate will be a part of the Department of Population and Data Sciences, a unique, interdisciplinary home for population science, clinical research, and development of novel research methodologies. Intra- and interdisciplinary collaborations are encouraged and facilitated.

Qualifications include a doctorate degree (Ph.D., M.D., Dr.PH, or other) in social or public health, or other relevant fields (rank open depending on experience). The right candidate will lead all areas of cancer control research at Moncrief and develop a team of faculty to create a nationally recognized program. Candidates must have excellent oral and written communication skills and advanced expertise in research design and methodology. Candidates will need a record of funded research and publications.

Applicants should submit a letter of application including statement of current and future research interest, curriculum vitae, and names and contact information for three references. Electronic applications are preferred and should be sent to Keith Argenbright, M.D., in care of Suzette Swoverland. suzette.swoverland@utsouthwestern.edu Review of applications will begin immediately and continue until the position is filled.

Associate Professor/Professor
Chief, Division of Epidemiology

The Department of Population and Data Sciences at UT Southwestern Medical Center is seeking applicants for an Associate Professor or Professor-level faculty position commensurate with experience who will serve as the Chief of the Division of Epidemiology in the Department of Population and Data Sciences.

We expect the Chief to recruit several faculty and postdoctoral positions over the next several years. The goal is to further strengthen the breadth and depth of the Department, which will provide in-depth epidemiological collaboration and consultation with all clinical investigators at UT Southwestern.

Candidates for this position must have significant accomplishments in the field of epidemiology, especially as it pertains to medical disorders (e.g., cancer, cardiology, psychiatry, etc.). We aim to develop a world-class Division of Epidemiology.

Professional experience or accomplishments should include innovative contributions to the design or analyses of epidemiological investigations, a track record of consistently high-quality publications, demonstrated leadership with management, organizational, and administrative skills, and evidence of strong communication, conceptualization, and teaching abilities.

The successful doctoral applicant will play a pivotal role in the development of both the Division and the Department, ensure the development of top-notch clinical and epidemiological investigators (in both interventional and translational research), recruit and develop faculty within the Division, and continue his/her own scientific work.

If these challenges and opportunities excite you, please submit a cover letter describing your background and experience, as well as a curriculum vitae and contact information with three references to:

Celette Sugg Skinner, Ph.D.
Professor and Chair
Department of Population and Data Sciences
UT Southwestern Medical Center
5323 Harry Hines Blvd.
Dallas, TX 75390-9066
celette.skinner@utsouthwestern.edu

Faculty, Division of Biomedical Informatics

The Division of Biomedical Informatics in the Department of Population and Data Sciences at UT Southwestern Medical Center in Dallas is seeking applications for faculty. Appointment rank will be commensurate with academic accomplishments and experience. The Division’s mission is to pursue high-impact research across the spectrum of biology and medicine through the design and implementation of novel computational methods and systems that solve challenging problems in the collection, representation, management, integration, analysis, and interpretation of high-dimensional, heterogeneous biomedical and clinical data sets, including but not limited to electronic health record data, imaging data, and data generated via high-throughput cellular and molecular assays.

Successful candidates will have a Ph.D. and a strong background in the computational and/or information sciences as evidenced by professional experience and accomplishments that include innovative contributions to peer-reviewed publications, obtainment or active participation in peer reviewed research funding, successful teaching leading interactive and thought-provoking coursework at the graduate level, and involvement on academic/institutional committees. The candidate must have an excellent interpersonal and communication style essential for developing and building collaborative research projects throughout the biomedical research environment.

We specifically encourage candidates with formal training and significant experience in machine learning/deep learning/artificial intelligence and a demonstrated track record of:

  • Innovating novel learning approaches and applications
  • Application of these methods to questions within the domain of immunology and closely related areas, including basic immunology, microbiome science, autoimmune disease, infectious disease, and cancer immunology, and
  • Successful collaboration with experimentalists, clinicians, and/or population scientists

Interested applicants should send a one-page letter of interest, an NIH Biosketch (including the Personal Statement and Contributions to Science sections), and a research statement to:

Lindsay G. Cowell, Ph.D.
Associate Professor, Division of Biomedical Informatics
The University of Texas Southwestern Medical Center
5323 Harry Hines Boulevard
Dallas, TX 75390-9066
lindsay.cowell@utsouthwestern.edu

UT Southwestern Medical Center is an Affirmative Action/Equal Opportunity Employer. Women and minority candidates are encouraged to apply.