Postdoctoral Fellow in Biostatistics & Health Data Science
Listed on 2026-07-01
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IT/Tech
Data Scientist, Data Analyst, AI Engineer (Applied/Software)
Postdoctoral Fellow in Biostatistics & Health Data Science
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The postdoctoral position addresses a fundamental and timely research question:
How can Large Language Models (LLMs) and intelligent agents support transparent, scalable, and auditable clinical data harmonization?
We are particularly interested in:
- LLM-driven systems for aligning real-world health data to standards like OMOPCDM, FHIR, and UMLS
- Agent-based workflows that explain, refine, and adapt semantic mappings over time
- Hybrid architectures that combine knowledge-grounded reasoning with flexible machine learning
- Tools that reduce manual burden while preserving traceability and clinical interpretability
This position offers the opportunity to publish novel methods, work with real messy multi-source data, and contribute to infrastructure supporting population-level research and health equity.
The postdoctoral fellow will be based in the Department of Biostatistics and Health Data Science at Indiana University School of Medicine, in close collaboration with the Regenstrief Institute, a nationally renowned center for health informatics research and real-world data infrastructure.
Our Team's Approach-We are not a pure research group. We operate at the interface of research and health data operations, building methods that not only publish but also deploy. We handle real clinical and public health data problems where ambiguity, variation, and scale are the norm—not the exception.
We welcome postdocs who want to drive innovation while engaging deeply with practical, meaningful data challenges.
Responsibilities:
- Design and implement LLM-based methods for clinical data harmonization, semantic normalization, and ontology alignment
- Develop multi-agent or RAG-style (retrieval-augmented generation) workflows for schema matching and terminology mapping
- Collaborate with national and multi-institutional initiatives in data integration and standardization
- Support open-source tooling, reproducible pipelines, and standards-based approaches (e.g., OMOP, FHIR, UMLS)
- Lead or support manuscript preparation and dissemination at top informatics and AI venues
- Contribute to grant development and proposal writing
What We Offer:
- A collaborative environment at the intersection of real-world data, applied AI, and translational science
- Opportunities to work across academic, clinical, and public health settings
- Mentorship and support toward independent research or career development in academia or industry
- Competitive salary and benefits through Indiana University
- A culture that values both scientific innovation and practical impact
The Indianapolis Campus is the focal point of health professions education at Indiana University, and the School of Medicine is the country's second largest allopathic medical school. Indianapolis consistently ranks high nationally on many of the "best places to live" lists and has an economy that is growing in the life sciences arena. In addition, it has always been one of the cities with the lowest cost of living.
Carmel, Indy's northern neighbor, was recently named as the best mid-sized city in the country.
IUSM is committed to being a welcoming campus community and we seek candidates whose research, teaching, and community engagement efforts contribute to robust learning and working environments for all students, staff, and faculty. We invite individuals who will join us in our mission to improve health equity and well-being for all throughout the state of Indiana.
Indianapolis is the capital and most populous city in the State of Indiana. It is growing economically thanks to a strong corporate base anchored by the life sciences. Indiana is home to one of the largest concentrations of health sciences companies in…
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