The University of North Carolina at Chapel Hill
Research Associate/Data Analyst
The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina, United States, 27517
Employment Type:
Permanent Staff (EHRA NF)
Vacancy ID:
NF0009459
Salary Range:
$70,000 - $100,000
Position Summary/Description The Cecil G. Sheps Center for Health Services Research at the University of North Carolina at Chapel Hill is recruiting for a Research Associate/Data Analyst to work with the Program on Health Workforce Research and Policy. The Data Analyst will support research processes across the Health Professions Data System, Carolina Health Workforce Research Center, and Behavioral Health Workforce Research Center.
Perform data cleaning and statistical analysis using SAS , Stata, R, Python, and SQL.
Perform descriptive, multivariate, and longitudinal data analysis using licensure data and large secondary population data sources.
Perform geospatial analysis including translating practice addresses to maps and other data visualizations.
Collaborate on the design of research studies including suggesting new methodologies and analyses.
Contribute to writing of study deliverables including co-authoring journal articles.
Provide quality assurance checks and audits of data reports; identify and propose solutions to data issues and changes.
Collaborate with team and external organizations to troubleshoot dataset issues and clarify data sources.
Communicate issues and findings to investigators and team members, using email, presentations, data visualizations, etc.
Manage project timelines, deliverables, and completion of required project objectives.
Work with interdisciplinary team to improve and maintain data systems to manage and compile datasets.
Communicate and explain results to investigators and collaborative team members, including tools/methods such as email/MS Outlook, MS Excel, MS Teams, MS PowerPoint, and verbal presentations when needed.
Education and Experience Experience managing teams, supervising other analysts' and students' analyses. Ability to quickly and easily learn new software, an 'analytical mindset' for identifying data issues and trends, solving problems, demonstrated data management and documentation experience, experience cleaning and merging data, strong interpersonal and collaboration skills, and strong oral, written communication, and presentation skills. Five years of experience in designing analytic research plans, conducting descriptive and multivariate statistical analyses, and conducting geospatial analyses.
Essential Skills Experience in designing analytic research plans, conducting descriptive and multivariate statistical analyses, and conducting geospatial analyses. Proficient in coding and analysis software tools such as Python, SQL, Stata, R, or SAS.
AA/EEO Statement 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.
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Permanent Staff (EHRA NF)
Vacancy ID:
NF0009459
Salary Range:
$70,000 - $100,000
Position Summary/Description The Cecil G. Sheps Center for Health Services Research at the University of North Carolina at Chapel Hill is recruiting for a Research Associate/Data Analyst to work with the Program on Health Workforce Research and Policy. The Data Analyst will support research processes across the Health Professions Data System, Carolina Health Workforce Research Center, and Behavioral Health Workforce Research Center.
Perform data cleaning and statistical analysis using SAS , Stata, R, Python, and SQL.
Perform descriptive, multivariate, and longitudinal data analysis using licensure data and large secondary population data sources.
Perform geospatial analysis including translating practice addresses to maps and other data visualizations.
Collaborate on the design of research studies including suggesting new methodologies and analyses.
Contribute to writing of study deliverables including co-authoring journal articles.
Provide quality assurance checks and audits of data reports; identify and propose solutions to data issues and changes.
Collaborate with team and external organizations to troubleshoot dataset issues and clarify data sources.
Communicate issues and findings to investigators and team members, using email, presentations, data visualizations, etc.
Manage project timelines, deliverables, and completion of required project objectives.
Work with interdisciplinary team to improve and maintain data systems to manage and compile datasets.
Communicate and explain results to investigators and collaborative team members, including tools/methods such as email/MS Outlook, MS Excel, MS Teams, MS PowerPoint, and verbal presentations when needed.
Education and Experience Experience managing teams, supervising other analysts' and students' analyses. Ability to quickly and easily learn new software, an 'analytical mindset' for identifying data issues and trends, solving problems, demonstrated data management and documentation experience, experience cleaning and merging data, strong interpersonal and collaboration skills, and strong oral, written communication, and presentation skills. Five years of experience in designing analytic research plans, conducting descriptive and multivariate statistical analyses, and conducting geospatial analyses.
Essential Skills Experience in designing analytic research plans, conducting descriptive and multivariate statistical analyses, and conducting geospatial analyses. Proficient in coding and analysis software tools such as Python, SQL, Stata, R, or SAS.
AA/EEO Statement 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.
#J-18808-Ljbffr