Role Snapshot
The Research Data Scientist at UNC Chapel Hill supports the TraCS Institute's mission to improve health and well-being through data science applications in healthcare research and clinical settings.
Job Description
Research Data Scientist
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Please see Special Instructions for more details.
This position is ideal for those with formal experience and/or education in statistical or applied math.
Posting Information
Department
TraCS Institute-429801
Career Area
Research Professionals
Posting Open Date
09/16/2026
Application Deadline
09/30/2026
Open Until Filled
No
Position Type
Permanent Staff (EHRA NF)
Working Title
Research Data Scientist
Appointment Type
EHRA Non-Faculty
Position Number
20078545
Vacancy ID
NF0010036
Full Time/Part Time
Full-Time Permanent
FTE
1
Hours per week
40
Position Location
North Carolina, US
Hiring Range
$95,000 - $125,000
Proposed Start Date
11/02/2026
Be a Tar Heel!
Primary Purpose of Organizational Unit
Patient care: We promote health and provide superb clinical care while maintaining our strong tradition of reaching underserved populations and reducing health disparities across North Carolina and beyond.
Education: We prepare tomorrow’s healthcare professionals and biomedical researchers from all backgrounds by facilitating learning within innovative and integrated curricula and team-oriented interprofessional education to ensure a highly skilled workforce.
Research: We develop and support a rich array of outstanding health sciences research programs, centers and resources. We provide infrastructure and opportunities for collaboration among disciplines throughout and beyond our university to support outstanding research. We foster programs in the areas of basic, translational, mechanistic and population research.
Position Summary
Minimum Education and Experience Requirements
Required Qualifications, Competencies, and Experience
Preferred Qualifications, Competencies, and Experience
- Professional and/or formal educational experience utilizing large language models for research, including deploying, tuning, and optimizing open- and closed-source models in local and cloud environments, including high-security or air-gapped environments for sensitive data
- Experience applying LLMs to structured information extraction from unstructured text (e.g., named entity recognition, relation extraction, schema-constrained or function-calling-based structured output generation)
- Experience with natural language processing utilizing traditional data science approaches (word2Vec, NLTK, Spark NLP, etc.) and/or NLP utilizing large language models
- High level of proficiency in either R or Python in the areas of machine learning, deep learning, statistical analysis, computer vision, and/or graph analysis
- Experience with data engineering to create data science pipelines, deploy and scale models, and maintain and thoroughly document code and models, including designing evaluation frameworks for model/pipeline accuracy (e.g., precision/recall/F1 against gold-standard human annotation
- Knowledge of SQL programming, data modeling, and relational database systems such as Oracle, MS-SQL, MySQL, etc.
- Highly capable of working in a cross-functional team and functioning as lead scientist on research and development efforts – ability to manage multiple projects at once while delivering high-quality work on time
- Strong interest in clinical data and desire to develop deep expertise in EHR and claims data; interest in developing deep expertise in cancer registry data standards and abstraction workflows (e.g., NAACCR data items, ICD-O-3 histology/topography coding, AJCC staging) is a plus; prior registry experience is not required
- Strong commitment to teaching and disseminating work through writing and speaking engagements, as creating and giving seminars & presentations and authoring manuscripts is an expectation for this position.
- Fluency visualizing data for scientific purposes (e.g., creating figures for manuscripts and presentations)
- Experience and interest in academic research (working with faculty, disseminating work through manuscripts & open-source software, and grant writing)
Special Physical/Mental Requirements
Campus Security Authority Responsibilities
Not Applicable.
Special Instructions
This position is ideal for those with formal experience and/or education in statistical or applied math.
Quick Link
Department Contact Name and Title
Stephanie Fleming, HR Consultant
Department Contact Telephone or Email
stephanie_fleming@med.unc.edu
Office of Human Resources Contact Information
If you experience any problems accessing the system or have questions about the application process, please contact the Office of Human Resources at (919) 843-2300 or send an email to employment@unc.edu
Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status.

