Job Information
University of North Carolina- Chapel Hill IT Analyst/Programmer - 2 in NC-Chapel-Hill, United States
Employment Type: Permanent Staff (EHRA NF)
Vacancy ID: NF0008281
Salary Range: Dependent on Qualifications
Position Summary/Description:
The University of North Carolina at Chapel Hill, Department of Epidemiology is seeking an analyst who will contribute to the statistical aspects of multiple epidemiologic research projects. The current research seeks to understand relationships between neighborhood social stressors, epigenetic mechanisms, and adverse health outcomes. This multidisciplinary research aims to improve health among racial/ethnic minorities and eliminate health disparities.
This position is responsible for the management, quality control, and analysis of data across multiple projects. Data include multilevel (individual- and area-level), repeated, survey information, and biological markers (i.e., epigenetic, inflammation, blood pressure, height, and weight, etc.). The work will be conducted in both Unix/Linux and Windows environments. The analyst will develop, modify, and maintain statistical coding and Unix scripts (cshell; perl). Data analysis plans will be developed and modified in collaboration with the Principal Investigators and may include, but are not limited to, descriptive analyses, regression analyses, multilevel modeling, and structural equation modeling. The ability to work independently and to organize and adjust priorities appropriately as guided by the Principal Investigators will be critical for the success of this position.
Education and Experience:
Experience in GIS analyses, spatial analyses and mapping of measures to areas, assessing spatial correlation and heterogeneity (i.e., Local Indicator of Spatial Autocorrelation ( LISA ), Moran’s I) is preferred, but not required.
Degree or background in biostatistics, statistics, computer science, bioinformatics, or other data science.
Essential Skills:
This position requires the following:
Minimum of two years’ work experience with SAS or R and modeling procedures in the Unix, Linux and Windows environments,
Experience with multi-level data modeling (i.e., individual- and area-level measures), repeated measures, clustered data using random effects/hierarchical modeling, and data visualization,
Skilled in epigenome-wide association analyses with robust linear regression, regional analyses, potentially mediation analyses,
Experience constructing composite variables, merging data, and performing extensive quality control checks,
Document pipelines to maintain datasets, programs, and associated annotation for future reproducibility,
Communicate technical information efficiently to non-technical team members, and
Familiarity with data security principles and working with PHI .
AA/EEO Statement:
The University of North Carolina at Chapel Hill is an equal opportunity and affirmative action employer. All qualified applicants will receive consideration for employment without regard to age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or status as a protected veteran.