Research Associate - Temporary
Research Associate - Temporary
Posted on :
31-05-2025
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1 Vacancy
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Monthly Salary
$ 20 - 25
Vacancy
1 Vacancy
Posted on :
31-05-2025
Job Description
Position Summary
This position is a 100% remote work arrangement consistent with System Office policy. UNC Chapel Hill employees are generally required to reside in North Carolina within a reasonable commuting distance of their assigned duty station. The Research Associate will support a range of interdisciplinary research projects led by Dr. Fei Yu at the UNC School of Information and Library Science. This temporary position offers a unique opportunity to contribute to cutting-edge studies at the intersection of artificial intelligence health information and user-centered design. The successful candidate will assist in data collection analysis and reporting for projects related to: Research evaluation using large language models (LLMs): Exploring the application of LLMs such as ChatGPT for assessing scholarly alignment with funding priorities and research impact. Health literacy assessment: Evaluating the quality and readability of patient education materials and public health messaging using validated instruments (e.g. PEMAT DISCERN FKGL ). AI literacy programming: Supporting the development implementation and evaluation of AI literacy education programs for library and information science ( LIS ) students and the broader research community. Systematic reviews and bibliometric studies: Contributing to structured literature searches screening coding and synthesis using tools like PRISMA MMAT Covidence research databases and citation analysis platforms. Health Information Technology evaluation: Assisting in designing and usability testing AI-enhanced research tools and public-facing health information interfaces. The Research Associate will work under the supervision of Dr. Fei Yu and collaborate with students faculty and external partners. Responsibilities may include conducting literature reviews organizing and analyzing quantitative and qualitative data setting up an LLM environment and running experiments co-developing posters and manuscripts managing project documentation and assisting with conference presentations and stakeholder engagement. The position will provide mentorship opportunities and professional development in research methods project management and interdisciplinary collaboration. This is a temporary position with the possibility of extension based on funding availability and project needs.
Required Qualifications Competencies And Experience
Demonstrated experience with research methods including literature review qualitative and/or quantitative data collection and analysis and research documentation. Bibliometric or citation analysis tools (e.g. Scopus Web of Science Dimensions VOSviewer Bibliometrix) Systematic review methods and software (e.g. Covidence Rayyan Zotero PRISMA guidelines) Health literacy assessment tools (e.g. PEMAT DISCERN GQS readability formulas) Data analysis software (e.g. Excel R Python NVivo SPSS or Tableau) Basic experience with AI tools LLMs (e.g. ChatGPT Claude) or natural language processing techniques Strong written and oral communication skills including the ability to synthesize academic literature draft research summaries or weekly meeting notes and contribute to manuscript preparation data visualization and presentation development. Proven ability to work independently and collaboratively in a team-based research environment. The candidate is expected to be detail-oriented organized and able to manage multiple priorities and meet deadlines. Strong work ethnics in terms of observing institutional regulations in executing projects delivering results in a timely manner and following through on each assigned task.
Preferred Qualifications Competencies And Experience
Prior involvement in projects using generative AI tools (e.g. ChatGPT Claude Bard LLaMA) via API for research content evaluation or application development. Familiarity with prompt engineering fine-tuning models or evaluating AI outputs for accuracy bias or usability is highly desirable. Experience with secondary data sources for bibliometric or scientometric analyses including data extraction from sources such as PubMed Scopus or Dimensions and using tools like VOSviewer Bibliometrix or Excel for trend and network visualization. Familiarity with research impact frameworks or academic evaluation systems is a plus. Understanding of evidence synthesis methodologies including PRISMA JBI or MMAT guidelines. Experience in search strategy development citation screening data extraction and analysis using tools such as Rayyan Covidence or EndNote/Zotero is preferred Competence in analyzing qualitative or quantitative data using tools such as R Python NVivo SPSS or Tableau. Familiarity with creating clean interpretable graphics and dashboards for reporting research findings is advantageous. Experience contributing to academic manuscripts research posters or grant proposals. Familiarity with citation management tools (e.g. Zotero EndNote) and ability to synthesize and clearly communicate research findings to academic and general audiences.
Work Schedule
Monday Friday 8:00 AM 5:00 PM 20 hours per week flexible
This position is a 100% remote work arrangement consistent with System Office policy. UNC Chapel Hill employees are generally required to reside in North Carolina within a reasonable commuting distance of their assigned duty station. The Research Associate will support a range of interdisciplinary research projects led by Dr. Fei Yu at the UNC School of Information and Library Science. This temporary position offers a unique opportunity to contribute to cutting-edge studies at the intersection of artificial intelligence health information and user-centered design. The successful candidate will assist in data collection analysis and reporting for projects related to: Research evaluation using large language models (LLMs): Exploring the application of LLMs such as ChatGPT for assessing scholarly alignment with funding priorities and research impact. Health literacy assessment: Evaluating the quality and readability of patient education materials and public health messaging using validated instruments (e.g. PEMAT DISCERN FKGL ). AI literacy programming: Supporting the development implementation and evaluation of AI literacy education programs for library and information science ( LIS ) students and the broader research community. Systematic reviews and bibliometric studies: Contributing to structured literature searches screening coding and synthesis using tools like PRISMA MMAT Covidence research databases and citation analysis platforms. Health Information Technology evaluation: Assisting in designing and usability testing AI-enhanced research tools and public-facing health information interfaces. The Research Associate will work under the supervision of Dr. Fei Yu and collaborate with students faculty and external partners. Responsibilities may include conducting literature reviews organizing and analyzing quantitative and qualitative data setting up an LLM environment and running experiments co-developing posters and manuscripts managing project documentation and assisting with conference presentations and stakeholder engagement. The position will provide mentorship opportunities and professional development in research methods project management and interdisciplinary collaboration. This is a temporary position with the possibility of extension based on funding availability and project needs.
Required Qualifications Competencies And Experience
Demonstrated experience with research methods including literature review qualitative and/or quantitative data collection and analysis and research documentation. Bibliometric or citation analysis tools (e.g. Scopus Web of Science Dimensions VOSviewer Bibliometrix) Systematic review methods and software (e.g. Covidence Rayyan Zotero PRISMA guidelines) Health literacy assessment tools (e.g. PEMAT DISCERN GQS readability formulas) Data analysis software (e.g. Excel R Python NVivo SPSS or Tableau) Basic experience with AI tools LLMs (e.g. ChatGPT Claude) or natural language processing techniques Strong written and oral communication skills including the ability to synthesize academic literature draft research summaries or weekly meeting notes and contribute to manuscript preparation data visualization and presentation development. Proven ability to work independently and collaboratively in a team-based research environment. The candidate is expected to be detail-oriented organized and able to manage multiple priorities and meet deadlines. Strong work ethnics in terms of observing institutional regulations in executing projects delivering results in a timely manner and following through on each assigned task.
Preferred Qualifications Competencies And Experience
Prior involvement in projects using generative AI tools (e.g. ChatGPT Claude Bard LLaMA) via API for research content evaluation or application development. Familiarity with prompt engineering fine-tuning models or evaluating AI outputs for accuracy bias or usability is highly desirable. Experience with secondary data sources for bibliometric or scientometric analyses including data extraction from sources such as PubMed Scopus or Dimensions and using tools like VOSviewer Bibliometrix or Excel for trend and network visualization. Familiarity with research impact frameworks or academic evaluation systems is a plus. Understanding of evidence synthesis methodologies including PRISMA JBI or MMAT guidelines. Experience in search strategy development citation screening data extraction and analysis using tools such as Rayyan Covidence or EndNote/Zotero is preferred Competence in analyzing qualitative or quantitative data using tools such as R Python NVivo SPSS or Tableau. Familiarity with creating clean interpretable graphics and dashboards for reporting research findings is advantageous. Experience contributing to academic manuscripts research posters or grant proposals. Familiarity with citation management tools (e.g. Zotero EndNote) and ability to synthesize and clearly communicate research findings to academic and general audiences.
Work Schedule
Monday Friday 8:00 AM 5:00 PM 20 hours per week flexible
Required Experience:
Staff IC
Employment Type
Part-Time
Key Skills
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