MATRIX Post-Doc Research Associate
MATRIX Post-Doc Research Associate
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Salary Not Disclosed
1 Vacancy
Job Description
The Renaissance Computing Institute ( RENCI ) at UNC Chapel Hill is seeking a MATRIX Postdoctoral Research Associate to join our interdisciplinary team at the forefront of biomedical data integration and AI-driven this role you will design and implement sophisticated data ingestion and transformation workflows that unify diverse biomedical sources into structured queryable knowledge graphs. Your work will support the creation of FAIR -aligned metadata (including emerging standards like Croissant) to ensure data provenance accessibility and reuse across translational science domains. You will play a key role in shaping infrastructure that enables expressive querying (e.g. via the Model Context Protocol) and optimize integrated data for downstream AI/ML applications such as predictive modeling and pathfinding. This includes exploring the use of large language models (LLMs) for schema mapping and normalization tasks evaluating embedding strategies that enhance interpretability and developing novel approaches that use AI and knowledge graphs to make novel predictions and answer complex user queries. The ideal candidate is enthusiastic about contributing to open-source tools co-authoring publications and presenting research at national and international venues. As part of a dynamic collaborative team operating at the intersection of biomedical informatics semantic technologies and computational discovery youll contribute to impactful cutting-edge tools and methods that advance scientific understanding and translational outcomes.
Required Qualifications Competencies And Experience
NA
Preferred Qualifications Competencies And Experience
Experience with Knowledge Graph machine learning including KG embeddings. Strong background in data integration ETL pipeline design and schema transformation. Familiarity with workflow managers with a preference for experience using tools like Kedro Airflow Snakemake or similar. Understanding of semantic modeling and ontology use. (e.g. Biolink RDF / OWL OBO ontologies) Proficiency in Python and collaborative software development workflows. Familiarity with version control and team-based development using Git.
Required Experience:
IC
Employment Type
Full-Time
