1) Provide data management, programming, and analyses in support of epidemiological research across multiple projects and principal investigators.
- The successful candidate will work closely with faculty, staff, postdocs and graduate students on a wide variety of epidemiological research projects. The candidate will be responsible for managing all IT facets in multiple, concurrent projects, including designing, developing, loading, cleaning, merging, and documenting large and complex data files and databases, creating SAS analytical data sets per faculty and student instructions, and performing SAS statistical analyses.
2) Supervise the Epidemiology Department Applications Specialists, Applications Analysts, and IT Support Specialists.
- The successful candidate will supervise the Department IT professional staff of programmers and support personnel, and serve on the Department administrative team, reporting directly to the Department Chair.
While the programming duties will fluctuate depending upon project funding, it is expected to be a majority role.
Education and Experience:
Essential Skills, Knowledge and Abilities
Required skills include:
- SAS proficiency - Experience with basic statistical analyses - Previous experience in a leadership role - Previous work experience dealing with large data files - Demonstrated ability to work independently with only general guidelines and little supervision - Strong project management skills with proven ability to manage multiple projects concurrently - Exceptional interpersonal and professional communications skills. Must be comfortable working closely with administrators, faculty, staff, and students.
Preferred skills include:
- Minimum of five years of SAS coding experience in a work environment - Previous management experience in a supervisory role - Experience with epidemiological research data - Experience with advanced statistical analyses - Experience leading all IT components of complex research projects - Knowledge of or previous experience with relational databases - Experience with REDCap data collection software - Knowledge of data security best practices - Graduate education in computer science, biostatistics, MPH, or similar degree
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.
Internal Number: 129754
About The University of North Carolina at Chapel Hill
Carolina rates among the nation’s great institutions of higher education, set on an historic and beautiful campus that celebrates all four seasons. Carolina’s students, faculty and staff come here from around the world, bringing varied cultural, racial and ethnic heritages that help make UNC-Chapel Hill a thriving intellectual center. We’re repeatedly ranked the nation’s best value in higher education for students seeking to earn a college degree – the University has garnered the top spot each time since the ranking’s launch in 1998.Whether you’ve just started your career, are new to academia or are a seasoned professional with assorted campus experiences to draw on, we hope you will find a great place at Carolina.