Inside Higher Ed
MATRIX Post-Doc Research Associate
Inside Higher Ed, Chapel Hill, North Carolina, United States, 27517
4 days ago Be among the first 25 applicants
Overview
A MATRIX Post-Doctoral Research Associate role at the Renaissance Computing Institute (RENCI) within the University of North Carolina at Chapel Hill. The position focuses on biomedical data integration and AI-driven discovery, designing and implementing data ingestion and transformation workflows to unify diverse biomedical sources into structured, queryable knowledge graphs. The work supports the creation of FAIR-aligned metadata to ensure data provenance, accessibility, and reuse across translational science domains. The role explores large language models for schema mapping and normalization, evaluates embedding strategies, and develops approaches that use AI and knowledge graphs to make novel predictions and answer complex queries. The ideal candidate is enthusiastic about open-source tools, co-authoring publications, and presenting research at national and international venues.
At RENCI, we value data science, inclusive collaboration, and innovative problem-solving to advance scientific understanding and translational outcomes. Position Details Department:
Renaissance Computing Institute - 637100 Posting Open Date:
07/29/2025 Open Until Filled:
Yes Position Type:
Postdoctoral Scholar Position Title:
MATRIX Post-Doc Research Associate Vacancy ID:
PDS004609 Full-time/Part-time:
Full-Time Temporary Hours Per Week:
40 FTE:
1 Work Location:
Chapel Hill, NC Position Location:
Virginia, US Hiring Range:
Dependent upon Qualifications Proposed Start Date:
09/01/2025 Estimated Duration Of Appointment:
12 Months Primary Purpose Of Organizational Unit At RENCI, we use data, creativity, and inclusive teaming to revitalize how science is done. We foster data science expertise and cyberinfrastructure to expand human potential by unlocking data. We seek innovators, builders, strategists, technologists, architects, and creative thinkers to drive this work forward. When you join our team, you’ll: Spend your time solving the interesting and unique problems of research and development. Shape your future through experimentation and unfettered access to premier education and research. Make connections to people and projects that ignite your passion. We value diversity and provide tools for effective work, flexibility to maximize productivity, and a culture of thoughtful, challenging discourse. Join our research institute at UNC Chapel Hill to help spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond. Position Summary 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 discovery. You will design and implement 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 help shape 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 large language models (LLMs) for schema mapping and normalization, evaluating embedding strategies to 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 at the intersection of biomedical informatics, semantic technologies, and computational discovery, you’ll contribute to impactful tools and methods that advance scientific understanding and translational outcomes. Minimum Education And Experience Requirements Ph.D. in Bioinformatics, Biomedical Informatics, Computer Science, or a related field. 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 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. Special Instructions For information on UNC Postdoctoral Benefits and Services, click here.
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A MATRIX Post-Doctoral Research Associate role at the Renaissance Computing Institute (RENCI) within the University of North Carolina at Chapel Hill. The position focuses on biomedical data integration and AI-driven discovery, designing and implementing data ingestion and transformation workflows to unify diverse biomedical sources into structured, queryable knowledge graphs. The work supports the creation of FAIR-aligned metadata to ensure data provenance, accessibility, and reuse across translational science domains. The role explores large language models for schema mapping and normalization, evaluates embedding strategies, and develops approaches that use AI and knowledge graphs to make novel predictions and answer complex queries. The ideal candidate is enthusiastic about open-source tools, co-authoring publications, and presenting research at national and international venues.
At RENCI, we value data science, inclusive collaboration, and innovative problem-solving to advance scientific understanding and translational outcomes. Position Details Department:
Renaissance Computing Institute - 637100 Posting Open Date:
07/29/2025 Open Until Filled:
Yes Position Type:
Postdoctoral Scholar Position Title:
MATRIX Post-Doc Research Associate Vacancy ID:
PDS004609 Full-time/Part-time:
Full-Time Temporary Hours Per Week:
40 FTE:
1 Work Location:
Chapel Hill, NC Position Location:
Virginia, US Hiring Range:
Dependent upon Qualifications Proposed Start Date:
09/01/2025 Estimated Duration Of Appointment:
12 Months Primary Purpose Of Organizational Unit At RENCI, we use data, creativity, and inclusive teaming to revitalize how science is done. We foster data science expertise and cyberinfrastructure to expand human potential by unlocking data. We seek innovators, builders, strategists, technologists, architects, and creative thinkers to drive this work forward. When you join our team, you’ll: Spend your time solving the interesting and unique problems of research and development. Shape your future through experimentation and unfettered access to premier education and research. Make connections to people and projects that ignite your passion. We value diversity and provide tools for effective work, flexibility to maximize productivity, and a culture of thoughtful, challenging discourse. Join our research institute at UNC Chapel Hill to help spark a scientific renaissance across the Research Triangle Park, North Carolina, and beyond. Position Summary 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 discovery. You will design and implement 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 help shape 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 large language models (LLMs) for schema mapping and normalization, evaluating embedding strategies to 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 at the intersection of biomedical informatics, semantic technologies, and computational discovery, you’ll contribute to impactful tools and methods that advance scientific understanding and translational outcomes. Minimum Education And Experience Requirements Ph.D. in Bioinformatics, Biomedical Informatics, Computer Science, or a related field. 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 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. Special Instructions For information on UNC Postdoctoral Benefits and Services, click here.
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