EBIO Postdoctoral Research Fellow

Non-Tenure Track

IU Bloomington Epidemiology and Biostatistics

Bloomington

Two postdoctoral research fellow positions are available in the Tekwe-Zoh lab at Indiana University, School of Public Health – Department of Epidemiology/Biostatistics, to work on a recently NIDDK-funded R01 project on measurement error, missing data, and unmeasured confounding. The candidates will join a dynamic and collaborative research team led by Drs. Carmen D. Tekwe and Roger S. Zoh in the Department of Epidemiology and Biostatistics at Indiana University to develop and apply advanced statistical approaches for evaluating device-based measures of physical activity and relationships with nutrition and obesity.
Successful candidates will conduct research on semiparametric and Bayesian nonparametric methods in measurement error, missing data, and functional data. The developed methods will be applied to studies of wearable device–based measures of physical activity and self-reported measures of dietary intake in the context of obesity research. One candidate will be primarily supervised by Dr. Carmen Tekwe and will work on parametric and semiparametric methods of measurement error correction and missing data approaches in functional data, health disparities, nutrition, physical activity, and obesity. The second candidate will be primarily supervised by Dr. Zoh and will work on Bayesian semiparametric and nonparametric methods, high-dimensional data testing, and physical activity assessment. Both candidates will also collaborate with Dr. Lan Xue from the Department of Statistics at Oregon State University.
The candidates are expected to be self-motivated and able to work independently. The duties associated with these positions include statistical programming, authoring, and co-authoring of manuscripts, and participating in research meetings, mentoring of graduate students, and candidates are required to have excellent communication skills. The candidates will also be responsible for the development of R packages and relevant software associated with this research.

We welcome all applicants who can contribute to a diverse, inclusive, and collaborative research environment, and strong consideration will be given to candidates from under-represented groups looking to further their education and career development and strengthen the research environment at the University. The minimum requirement is a PhD in biostatistics, statistics, data science, or other quantitative fields. Consideration will also be given to candidates who have not yet defended at the time of their application (ABD candidates). Experience with high-dimensional or functional data is preferred but not required. Candidates who are eager to learn from a strong dynamic research team are encouraged to apply.
The anticipated start date for both appointments is September 1, 2024. The positions will be one-year renewable contracts, dependent on funding and performance. Salaries are competitive and benefits are included. Relocation costs will also be covered.
Indiana University is an equal employment and affirmative action employer and a provider of ADA services. All qualified applicants will receive consideration for employment based on individual qualifications. Indiana University prohibits discrimination based on age, ethnicity, color, race, religion, sex, sexual orientation, gender identity or expression, genetic information, marital status, national origin, disability status or protected veteran status.