Research Data Statistical Analyst

Job description

Posting Information

Position Information

Position Type Permanent Staff (EHRA NF) Department Urology-414101 Working Title Research Data Statistical Analyst Appointment Type EHRA Non-Faculty Position Posting Category Research Professionals Salary Range Full Time/Part Time? Full-Time Permanent Hours per Week 40 Vacancy ID NF0003501 Position ID 20031583 Posting Open Date 01/07/2019 Application Deadline 02/04/2019 Open Until Filled No Proposed Start Date 02/01/2019 Position Summary

This new position is needed for multiple research studies in the Department of Urology in conjunction with the UNC Lineberger Comprehensive Cancer Center. The primary purpose of this position is the management and analysis of primary health outcomes data and large secondary healthcare databases. This position will assist with the design, analysis and interpretation of diverse health services research studies, primarily using SAS and STATA. Together with UNC Urology faculty, this person will interface directly with clinical and research partners in the UNC Lineberger Comprehensive Cancer Center to help operationalize research questions, recommend and apply analytic approaches and assist with interpretation.

Educational Requirements

Completion of a Master’s in biostatistics, epidemiology, health services research, systems engineering, or related Public Health degree is preferred OR Bachelor’s degree and at least five years working in health services or outcomes research required.

Qualifications and Experience

Demonstrated knowledge of and experience in methods appropriate for analysis of health and health outcomes. Demonstrated skill and experience with advanced SAS or STATA programming. Candidates with no previous SAS or STATA experience in the submitted application materials will not be considered. Strong skills in biostatistics and epidemiologic methods including survival analysis, longitudinal data analysis, multi-level modeling, time-varying covariates and familiarity with pharmacoepidemiologic methods (propensity score analysis, instrumental variables), Bayesian models, missing data, bootstrapping, censoring/truncation. Expertise in documenting research decisions, assumptions, and steps applied in study analysis. A history of good communication and collaborative/interpersonal skills, and proactive team orientation.

Strongly preferred: Experience in cancer research and with analysis of registry, clinical trials and administrative claims data (e.g., Medicare); and management of large, linked datasets (e.g., 250,000+ observations; 1000+ variables).

Preferred: Experience with structural equation models, joinpoint regression, cost-effectiveness analysis, machine learning, microsimulation, and other statistical packages (e.g., R, SQL, treeage). Experience with survey data, patient-reported outcomes, or coded qualitative data.

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 Quick Link Department Contact Information

Department Contact Name and Title Kim Campbell, 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
Optional Documents
  1. Cover Letter
  2. Other Document
  3. List of References
  4. Degree Transcripts
  5. Certification/licenses
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 experience with STATA or other statistical software packages (SAS, R, Eviews, etc.)
    • Yes
    • No




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Job No:
Posted: 1/23/2019
Application Due: 2/14/2019
Work Type: