University of Southern California
Assistant Professor of Population and Public Health Services
University of Southern California, Los Angeles, California, United States, 90079
Assistant Professor of Population and Public Health Services
The Department of Population and Public Health Sciences (DPPHS) in the University of Southern California’s Keck School of Medicine invites applications for a tenure-track position at the level of Assistant Professor in the area of Data Analytics as applied to large complex data sets that address development and prevention of multiple health risk behaviors. We seek an accomplished scientist with a PhD or equivalent degree in any relevant discipline including Public Health, Social and Behavioral Sciences, or Computer/Information Sciences with experience and research interest in one or more of the following areas: computational social science, social media analysis, and/or online technologies for delivering preventive interventions. In addition, the successful candidate should be familiar with one or more of the following types of large data: ecological momentary assessment, social media, longitudinal survey, geospatial data, archival health data, and/or systems science. Applicants should document their use of specific computational tools such as R, Python, C++, Stata, SAS, etc. The successful applicant will be expected to have an active NIH or equivalent funded research program, evidence of peer-reviewed publication productivity, and evidence of leadership or leadership potential in national organizations or conferences. The faculty appointment will be in the Division of Health Behavior Research (HBR), which includes diverse faculty from different disciplines, including Psychology, Public Health, Sociology, Statistics, Communication, and Ecology. HBR faculty investigate a wide range of health risk behavior research, including tobacco and substance use, health communications, obesity and physical activity and diet related to obesity risk, cancer survivorship and HIV/STD risk. The Division is well-known for its work across translational spectrum from efficacy to dissemination trials. The candidate will complement existing methodological faculty who have expertise in social network analysis, systems science, longitudinal latent class and growth mixture modeling, and mixed methods analysis. The interdisciplinary nature of the Division faculty encourages collaborative research, particularly research that is part of program projects, U, or other types of large center-type grants. The candidate will be encouraged to form research collaborations that involve “big data analytics” with other faculty within the division as well as with faculty in other divisions, particularly with faculty in the Divisions of Biostatistics, Cancer Epidemiology, and/or Bioinformatics. The Department and the Division of Health Behavior Research have active teaching and training programs at the undergraduate, master’s (e.g., MPH, MS in Health Data Science), doctoral (Ph.D. programs in Health Behavior, Biostatistics, and Epidemiology), and postdoctoral levels. These programs provide opportunities to participate in teaching and to form research labs of students who register for research credit or who are funded as trainees under NIH T32 training programs. The recruitment package is highly competitive and includes housing assistance, protected time to develop research and coursework, and access to doctoral and postdoctoral trainees for research support. Applicants should submit a curriculum vitae, a personal research statement, a brief summary of research accomplishments and future goals, and contact information for three references to Ricky Bluthenthal at ricky.bluthenthal@med.usc.edu.
Job ID
REQ20168009
Posted Date
10/15/2025 Apply. Current employees apply here. Responsibilities
Hold a tenure-track appointment in the Division of Health Behavior Research and contribute to research addressing health risk behaviors using large, complex data sets. Develop and lead a robust, NIH- or equivalent-funded research program with strong publication output. Collaborate across divisions (e.g., Biostatistics, Cancer Epidemiology, Bioinformatics) and participate in program projects or large center-type grants. Engage in teaching at undergraduate, master’s, doctoral, and postdoctoral levels and mentor research labs and trainees. Advance methodological work in areas such as social network analysis, systems science, and advanced analytics for population health. Qualifications
PhD or equivalent in Public Health, Social and Behavioral Sciences, Computer/Information Sciences, or related fields. Experience in computational social science, social media analysis, and/or online preventive interventions. Familiarity with large data types (e.g., ecological momentary assessment, social media, longitudinal surveys, geospatial data, archival health data, systems science). Proficiency with computational tools (R, Python, C++, Stata, SAS, etc.). Active NIH- or equivalent-funded research program, evidence of peer-reviewed publications, and leadership potential in national organizations or conferences.
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The Department of Population and Public Health Sciences (DPPHS) in the University of Southern California’s Keck School of Medicine invites applications for a tenure-track position at the level of Assistant Professor in the area of Data Analytics as applied to large complex data sets that address development and prevention of multiple health risk behaviors. We seek an accomplished scientist with a PhD or equivalent degree in any relevant discipline including Public Health, Social and Behavioral Sciences, or Computer/Information Sciences with experience and research interest in one or more of the following areas: computational social science, social media analysis, and/or online technologies for delivering preventive interventions. In addition, the successful candidate should be familiar with one or more of the following types of large data: ecological momentary assessment, social media, longitudinal survey, geospatial data, archival health data, and/or systems science. Applicants should document their use of specific computational tools such as R, Python, C++, Stata, SAS, etc. The successful applicant will be expected to have an active NIH or equivalent funded research program, evidence of peer-reviewed publication productivity, and evidence of leadership or leadership potential in national organizations or conferences. The faculty appointment will be in the Division of Health Behavior Research (HBR), which includes diverse faculty from different disciplines, including Psychology, Public Health, Sociology, Statistics, Communication, and Ecology. HBR faculty investigate a wide range of health risk behavior research, including tobacco and substance use, health communications, obesity and physical activity and diet related to obesity risk, cancer survivorship and HIV/STD risk. The Division is well-known for its work across translational spectrum from efficacy to dissemination trials. The candidate will complement existing methodological faculty who have expertise in social network analysis, systems science, longitudinal latent class and growth mixture modeling, and mixed methods analysis. The interdisciplinary nature of the Division faculty encourages collaborative research, particularly research that is part of program projects, U, or other types of large center-type grants. The candidate will be encouraged to form research collaborations that involve “big data analytics” with other faculty within the division as well as with faculty in other divisions, particularly with faculty in the Divisions of Biostatistics, Cancer Epidemiology, and/or Bioinformatics. The Department and the Division of Health Behavior Research have active teaching and training programs at the undergraduate, master’s (e.g., MPH, MS in Health Data Science), doctoral (Ph.D. programs in Health Behavior, Biostatistics, and Epidemiology), and postdoctoral levels. These programs provide opportunities to participate in teaching and to form research labs of students who register for research credit or who are funded as trainees under NIH T32 training programs. The recruitment package is highly competitive and includes housing assistance, protected time to develop research and coursework, and access to doctoral and postdoctoral trainees for research support. Applicants should submit a curriculum vitae, a personal research statement, a brief summary of research accomplishments and future goals, and contact information for three references to Ricky Bluthenthal at ricky.bluthenthal@med.usc.edu.
Job ID
REQ20168009
Posted Date
10/15/2025 Apply. Current employees apply here. Responsibilities
Hold a tenure-track appointment in the Division of Health Behavior Research and contribute to research addressing health risk behaviors using large, complex data sets. Develop and lead a robust, NIH- or equivalent-funded research program with strong publication output. Collaborate across divisions (e.g., Biostatistics, Cancer Epidemiology, Bioinformatics) and participate in program projects or large center-type grants. Engage in teaching at undergraduate, master’s, doctoral, and postdoctoral levels and mentor research labs and trainees. Advance methodological work in areas such as social network analysis, systems science, and advanced analytics for population health. Qualifications
PhD or equivalent in Public Health, Social and Behavioral Sciences, Computer/Information Sciences, or related fields. Experience in computational social science, social media analysis, and/or online preventive interventions. Familiarity with large data types (e.g., ecological momentary assessment, social media, longitudinal surveys, geospatial data, archival health data, systems science). Proficiency with computational tools (R, Python, C++, Stata, SAS, etc.). Active NIH- or equivalent-funded research program, evidence of peer-reviewed publications, and leadership potential in national organizations or conferences.
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