Student Research Tech
About The Position
This student position supports the Division’s research initiatives, primarily in observational health data analytics, machine learning, and scientific reasoning frameworks. The work includes analyzing large-scale patient record databases with OMOP and OHDSI tools; developing AI, machine learning, and LLM pipelines; building NLP systems for unstructured clinical text and biomedical concept extraction; and writing code to process health data and automate analytical workflows. The student will collaborate with interdisciplinary research teams, participate in weekly meetings, and support analyses and preparation of academic publications.
Requirements
- Be enrolled in a degree-seeking program at UNM.
- Be enrolled at least half-time (6 hours) at UNM during the fall and spring semesters; audit hours do not count.
- If participating in Work Study, meet Satisfactory Academic Progress.
Nice To Haves
- Experience with health data analytics, including electronic health records or other observational health data, and familiarity with the OMOP Common Data Model and/or OHDSI tools.
- Experience with Python, R, or related programming languages, including development of machine learning, NLP, LLM, or other data-analysis pipelines.
Responsibilities
- Navigate and analyze large-scale patient record databases using the OMOP Common Data Model and OHDSI tools.
- Develop, test, and implement AI, machine learning, and LLM pipelines for biomedical research.
- Design and implement NLP pipelines to analyze unstructured clinical text, extract biomedical concepts, and support retrieval-augmented generation models.
- Write and optimize code to process health data, automate analytical workflows, and support technical infrastructure.
- Participate in weekly research meetings and collaborate with faculty, staff, and students on health informatics projects.
- Organize research findings, execute analyses, and contribute to preparing and drafting academic publications.
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What This Job Offers
Job Type
Full-time
Career Level
Entry Level
Education Level
No Education Listed
