Research Data Statistical Analyst
Posting InformationPosition 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 NF0003728 Position ID 20031583 Posting Open Date 05/01/2019 Application Deadline 05/15/2019 Open Until Filled No Proposed Start Date 06/01/2019 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 degree or higher in biostatistics, epidemiology, or an equivalent field; OR Bachelor’s degree and at least five years working in health services or outcomes research.Qualifications and Experience
Demonstrated knowledge of statistical methods appropriate for analysis of health and health outcomes data. Demonstrated high level of proficiency with advanced SAS or STATA programming. Candidates with no previous SAS or STATA experience in the submitted application materials will not be considered. Ability to manage large, linked data sets (e.g., 250,000+ observations; 1000+ variables) and perform biostatistics and epidemiological methods including multivariable regression, survival analysis, longitudinal data analysis, and multi-level modeling. Good communication, collaborative/interpersonal skills, and proactive team orientation are essential. Candidates should be able to clearly document research decisions, assumptions, logic, and steps applied in study analysis.
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.
Strongly preferred: Experience with administrative claims data (e.g., Medicare, Medicaid, Marketscan) and registry data (e.g., SEER, National Cancer Database) for cancer research. Familiarity with time-varying covariates, missing data, imputation, censoring/truncation and advanced statistical methods such as propensity score analysis, instrumental variables, Bayesian models, bootstrapping, and development/validation of predictive models.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 http://unc.peopleadmin.com/postings/161014 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.
- Curriculum Vitae / Resume
- Cover Letter
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- List of References
- Degree Transcripts
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