Senior Data Analyst

Job description

Posting Information

Position Information

Position Type Permanent Staff (EHRA NF) Department SOP-DPOP-452300 Working Title Senior Data Analyst Appointment Type EHRA Non-Faculty Research Position Posting Category Research Professionals Salary Range Dependent on qualifications and experience. Full Time/Part Time? Full-Time Permanent Hours per Week 40 Vacancy ID NF0003552 Position ID 01005226 Posting Open Date 02/06/2019 Application Deadline Open Until Filled Yes Proposed Start Date 04/01/2019 Position Summary

The Division of Pharmaceutical Outcomes and Policy in the UNC Eshelman School of Pharmacy is recruiting an experienced statistician and data analyst for a full-time EPA non-faculty appointment. The Senior Data Analyst position will be under the supervision of the principal Investigator and will provide data extraction, manipulation, management, and analysis support to pharmaceutical outcomes and policy studies aimed at improving the safety and effectiveness of medications used by patients from various populations in a variety of healthcare settings. Responsibilities will include the following: creating analytic data files by using complex programming techniques to extract and aggregate raw healthcare data, contributing to study design and analytical decisions, conducting statistical analyses, documenting programming and results, and assisting in the preparation of reports, manuscripts, and grant proposals. To a lesser extent, the position will also include oversight, training, and support of the supervisor’s graduate students, fellows, and trainees in extracting, manipulating, managing, and analyzing healthcare data.

Educational Requirements

Masters degree in statistics, biostatistics, epidemiology, health policy or related field with at least two years of relevant experience.

Qualifications and Experience

The ideal candidate must have at least two years of experience working with large relational databases, processing large administrative healthcare datasets (e.g., medical claims, pharmacy refill records) and/or clinical record databases, and creating final analytical datasets. The candidate should possess strong skills in SAS and/or SQL programming. The ideal candidate should have experience working in SAS, SQL, and Stata and also have experience and training in statistical modeling.

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.

Special Instructions

Apply online at, Include a CV/resume and a list of at least three professional references with their full contact information. A cover letter is optional but encouraged.

Quick Link Department Contact Information

Department Contact Name and Title Mac Balatico, HR Consultant Department Contact Telephone or Email [email protected] 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 [email protected]
Please note: The Office of Human Resources will not be able to provide specific updates regarding position or application status.

Applicant Documents Required Documents
  1. Curriculum Vitae / Resume
  2. List of References
Optional Documents
  1. Cover Letter
Supplemental Questions

Required fields are indicated with an asterisk (*).

  1. * 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
  2. * Do you have a Masters in Public Health or Masters of Science degree in statistics, bio-statistics, epidemiology, or health policy?
    • Yes
    • No
  3. * Do you have at least two years of experience working with large relational databases, processing large administrative healthcare data sets?
    • Yes
    • No
  4. * Briefly describe your experience working in SAS, SQL, and Stata and what experience and training you have in statistical modeling.

    (Open Ended Question)




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Job No:
Posted: 3/14/2019
Application Due: 5/8/2019
Work Type: