Postdoc in Biostatistics & Health Data Harmonization

Indiana University; Bloomington (IN); On-site; USD 60,000 - 80,000; Full time

Benefits offered by this job

Collaborative environment

Opportunities in academic and public health

Competitive salary and benefits

Mentorship support

Job summary

The Indiana University is seeking a Postdoctoral Fellow in Biostatistics & Health Data Science. This role focuses on developing LLM-driven systems for health data integration and offers unique opportunities to publish and innovate in a collaborative environment.

Candidates must hold a Ph.D. and possess strong expertise in machine learning. The position offers a competitive salary, mentorship, and a commitment to health equity through research.

Qualifications

• Ph.D. (by start date) in Computer Science, Biomedical Informatics, Health Data Science, or Biostatistics.
• Strong foundation in machine learning plus expertise in multimodal learning, time-series modeling, or NLP.
• Experience with healthcare data, such as EHR or clinical text.

Responsibilities

• Design and implement LLM-based methods for clinical data harmonization.
• Develop workflows for schema matching and terminology mapping.
• Collaborate on data integration and standardization initiatives.

Skills

Machine learning/deep learning

NLP

Python

Healthcare data expertise

Education

Ph.D. in relevant field

Tools

PyTorch

scikit-learn

Git

Weights & Biases

Job description

The Indiana University is seeking a Postdoctoral Fellow in Biostatistics & Health Data Science. This role focuses on developing LLM-driven systems for health data integration and offers unique opportunities to publish and innovate in a collaborative environment.

Candidates must hold a Ph.D. and possess strong expertise in machine learning. The position offers a competitive salary, mentorship, and a commitment to health equity through research.