Postdoctoral Fellow: AI-Driven Health Data Harmonization

Indiana University; Indianapolis (IN); On-site; USD 55,000 - 75,000; Full time

Job summary

Indiana University in Indianapolis invites applicants for a Postdoctoral Fellow in Biostatistics & Health Data Science to advance methods for harmonizing real-world health data using LLMs and ontology alignment. You will develop multi-agent workflows, collaborate across IU, Regenstrief Institute, and national consortia, and publish methods and results.

This role offers opportunities to work with multi-source datasets, contribute to open-source tooling, and mentor through grant writing and

Qualifications

• Ph.D. (by start date) in Computer Science, Biomedical Informatics, Health Data Science, Biostatistics, or related field.
• Strong ML/deep learning foundation with expertise in multimodal learning, time-series, or NLP.
• Experience with healthcare data (e.g., EHR, clinical text, imaging, omics).
• Proficiency in Python, ML tooling (PyTorch, scikit-learn), Git, and experiment tracking.
• Excellent written and oral communication and collaboration skills.

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

Skills

ML fundamentals

Python programming

Communication skills

Collaboration

EHR/health data experience

Education

Ph.D. in Computer Science/Biomedical Informatics/Health Data Science or related

Tools

PyTorch

scikit-learn

Git

Weights & Biases

NLP

Job description

Indiana University in Indianapolis invites applicants for a Postdoctoral Fellow in Biostatistics & Health Data Science to advance methods for harmonizing real-world health data using LLMs and ontology alignment. You will develop multi-agent workflows, collaborate across IU, Regenstrief Institute, and national consortia, and publish methods and results.

This role offers opportunities to work with multi-source datasets, contribute to open-source tooling, and mentor through grant writing and