|Position Type||Permanent Staff (EHRA NF)|
|Department||Carolina Population Center-631100|
|Working Title||Programmer Analyst|
|Appointment Type||EHRA Non-Faculty Research|
|Position Posting Category||Information Technology|
|Salary Range||dependent on qualifications|
|Full Time/Part Time?||Full-Time Permanent|
|Hours per Week||40|
|Posting Open Date||01/31/2020|
|Open Until Filled||No|
|Proposed Start Date||03/09/2020|
This position is within the Research Programming Unit of the Carolina Population Center. It provides data management and analysis under the direction of nutrition epidemiologists and food economists as part of the Global Food Research Program working on a variety of externally sponsored projects with over $10 million annually in grant awards. The projects involve manipulating data from multiple sources including U.S. and international food purchase and consumption practices, and the nutrient content of commercial and non-commercial foods. Some files are very large with millions of records per file and file sizes averaging 90-100 GB that require a high level of skill at data management and sophisticated programming techniques for efficient processing of the data and associated analyses. This position works on all aspects of acquisition of large research and commercial data, data management, and data analysis with a team of senior programmer/analysts in the Research Programming Unit and with dietitians and nutrition epidemiologists. He/she is responsible for constructing complex variables and documenting the programming techniques used to generate these variables, which are used by the entire research team.
Master’s and 1-2 years’ experience
|Qualifications and Experience||
Demonstrated ability in SAS and/or Stata to manage large, complex, multi-level data. Experience with statistical analysis procedures within SAS and/or Stata. Demonstrated ability to take responsibility for the planning, management, and analysis of complex data in a data-driven project.
The following experience is desired. Experience with population-based surveys, data cleaning and post-processing, data documentation, dissemination to the research community, and technical user support are highly desirable. Experience with analysis of complex survey data is highly desirable. Experience with both SAS and Stata is highly desirable (proficiency in one is required). Experience working with Excel tables within a statistical package is desirable. Ability to work with a team of faculty and senior programmer/analysts, taking direction while providing independent analysis and suggestions about technical solutions to meet the needs of the project. Ability to direct the work of other team members as needed. Familiarity with nutrition terminology.
|Equal Opportunity Employer||
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.
Include salary expectations in the cover letter.
|Department Contact Name and Title||Connie Padgett, Dept Mgr|
|Department Contact Telephone or Emailemail@example.com|
|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 firstname.lastname@example.org
- Curriculum Vitae / Resume
- Cover Letter
Required fields are indicated with an asterisk (*).
- * Please select the response below that describes your level of education that best or mostly closely satisfies the education requirements for this position.
- Bachelor’s degree in required discipline(s) listed or related field
- Bachelor's degree in any field/discipline
- Master's degree or Doctorate degree in required discipline(s) listed or related field
- Master's degree or Doctorate degree in any field/discipline
- None of the above
- * Describe your experience managing complex multi-level research data.
(Open Ended Question)
- * Describe your knowledge and use of SAS and Stata for data management and analysis.
(Open Ended Question)
- * Describe your experience working in a research team.
(Open Ended Question)