> Markdown version of [/jobs/ext/3777414-postdoctoral-fellow-department-of-biostatistics-and-health-data-science](https://www.wearedevelopers.com/jobs/ext/3777414-postdoctoral-fellow-department-of-biostatistics-and-health-data-science). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Postdoctoral Fellow Department of Biostatistics and Health Data Science - **Company:** Indiana University Foundation - **Location:** Indianapolis, IN, United States - **Contract:** Permanent contract - **Skills:** Data Analysis, Python (Programming Language), MATLAB, Data Processing, Stable Diffusion - **Published:** October 16, 2026 - **Apply:** https://indiana.peopleadmin.com/postings/34750/pre_apply ## About the Role * Completed PhD in biostatistics, statistics, or a related discipline * Prior neuroimaging experience * Strong skills in statistical methodology development and implementation * Strong programming skills, experience with imaging software is a plus ## Description The Department of Biostatistics and Health Data Science is seeking a Postdoctoral Fellow interested in developing and applying novel statistical methodologies for quantitative neuroimaging and multiview data integration, as related to Alzheimer's Disease and the impact of substance exposure on neurodevelopment. The ideal individual will have a strong history in coding in R, Matlab, and/or Python, and statistical skills in any of (but not limited to) the following areas, including high-dimensional data analysis, time series, functional data, Bayesian statistics, random object analysis, and optimal transport. Experience with neuroimaging data processing and analysis is a plus. The fellows will work with an interdisciplinary team spanning multiple departments and institutes with a common goal of creating and evaluating novel statistical algorithms in healthcare and neuroscience. The fellow will work on statistical methodologies across a broad range of modalities and measurements including: * Resting-state and task-based functional MRI * Anatomical/structural MRI * Diffusion MRI * Multi-omics data * Clinical/behavioral outcomes