Research Data & AI Solutions Specialist

Posting Information

• Department:
  School of Data Sci and Society-397100
• Career Area:
  Research Professionals
• Posting Open Date: 03/23/2026
• Final date to receive applications: 07/02/2026
• Open Until Filled:
  No
• Position Type:
  Permanent Staff (EHRA NF)
• Working Title:
  
  Research Data & AI Solutions Specialist
• Appointment Type: EHRA Non-Faculty
• Position Number:
• Vacancy
• Full Time/Part Time:
  Full-Time Permanent
• FTE: 1
• Hours per week: 40
• Position Location:
  
  North Carolina, US
• Hiring Range: salary to be commensurate with experience
• Proposed
  
  Start Date:
  
  07/01/2026

The Research Data & AI Solutions Specialist works directly with faculty, research staff, and graduate students to translate research questions and workflows into usable, scalable data and AI research technologies. The role combines solutions development, applied technical expertise, and research partnership to design, prototype, and scale data and AI enabled technologies in support of SDSS faculty research programs. These technologies may include research software tools, analytical and modeling pipelines, automation scripts, dashboards, visualization systems, and AI-enabled research assistants.

The role is strongly end‑user focused, emphasizing co‑design with researchers, iterative prototyping, usability in real research contexts, and sustained adoption across projects and labs. The position technically enables SDSS faculty research by supporting tool development and data collection to enhance the impact of grant applications and implementation of research projects, enabling reuse of shared tools, and connecting research teams to appropriate technical and institutional resources.

Relevant post‑Baccalaureate degree required (or foreign degree equivalent); for candidates demonstrating comparable independent research productivity, a relevant Bachelor’s degree (or foreign degree equivalent) and 3 or more years of relevant experience may be accepted in substitution. May require terminal degree and licensure.

• Bachelor’s degree in Data Science, Computer Science, Information Systems, Information Science, Business Analytics, Business Administration, Economics, Public Health, or related field, or equivalent combination of education and experience.

• Experience supporting research software, analytics platforms, data pipelines, or AI‑enabled tools in an academic or research setting.
• Experience working directly with faculty or research teams on applied research technology projects.
• Familiarity with user‑centered or participatory design approaches in research contexts.
• Experience coordinating pilot projects, prototypes, or shared research tools from concept through adoption.
• Exposure to research data governance or compliance considerations (e.g., sensitive data, regulated environments), with emphasis on enabling not managing research use.
• Experience improving research and research‑adjacent workflows through automation, integration, or technical process redesign.

The University is an equal opportunity employer and welcomes all to apply without regard to age, color, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, or sexual orientation. We encourage all qualified applicants to apply, including protected veterans and individuals with disabilities.