Postdoctoral Fellow: LLM-Driven Health Data Harmonization

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

Benefits offered by this job

Competitive salary

Mentorship

Collaborative research environment

Job summary

A leading research university in Indianapolis is seeking a Postdoctoral Fellow in Biostatistics & Health Data Science. The successful candidate will design LLM-based methods for harmonizing clinical data and collaborate on national initiatives. Requirements include a Ph.D. and expertise in ML, Python, and healthcare data. This role offers competitive salary and mentorship opportunities within a dynamic research environment, contributing to advancing health equity.

Qualifications

• Strong ML/deep learning foundation with expertise in multimodal learning, time-series modeling, or NLP.
• Demonstrated working experience with healthcare data and proficiency in ML tooling.
• Excellent written and oral communication skills.

Responsibilities

• Design and implement LLM-based methods for clinical data harmonization.
• Collaborate with national and multi-institutional data integration initiatives.
• Lead manuscript preparation and support grant development.

Skills

ML/deep learning foundation

Proficiency in Python

Excellent communication skills

Experience with healthcare data

Education

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

Tools

PyTorch

scikit-learn

Git

Job description

A leading research university in Indianapolis is seeking a Postdoctoral Fellow in Biostatistics & Health Data Science. The successful candidate will design LLM-based methods for harmonizing clinical data and collaborate on national initiatives. Requirements include a Ph.D. and expertise in ML, Python, and healthcare data. This role offers competitive salary and mentorship opportunities within a dynamic research environment, contributing to advancing health equity.