Research Associate

Location
Chapel Hill, NC
Posted
Jul 11, 2018
Institution Type
Four-Year Institution

Position Type: Permanent Staff

Department: Lineberger Compr Cancer Center - 426801

Appointment Type: EHRA Non-Faculty Research

Vacancy ID: NF0003201

Position Summary: A Research Associate (data specialist) with a demonstrated background in analytic data mining of large health care related datasets. This position is needed to join a rapidly growing team that supports research studies in UNC Lineberger by manipulating very large datasets. This person will play a key role in the data management and development of analytic datasets for statistical analyses and interpretation of very large secondary data sets for retrospective, observational studies.

Application Deadline: 08/09/2018

Education Requirements: Completion of a Master's degree plus experience or Bachelor's with a minimum of 5 years of experience in computer science, engineering, mathematics, operations research, statistics, biostatistics, or other related field.

Qualification and Experience: Required: Demonstrated knowledge of and experience in data mining of large linked health care research datasets (1 million observations; 1000 variables; complex joins; entity relationships). Certification in SAS Base, SAS Advanced and experience with SQL (MySQL or SAS Proc SQL); knowledge of Oracle, Hadoop or other large data management solutions is a plus. Demonstrated skill and experience with large data manipulation, algorithms, advanced math, or statistical modeling. Excellent analytical and problem solving skills with attention to detail, data accuracy, and documentation. Strongly Preferred: Experience with administrative claims data (e.g., Medicare, BCBS), clinical trials data, registry, or cancer surveillance data. Experience with outcomes research and comparative effectiveness research. Very strong communication and interpersonal skills; ability to synthesize data from multiple sources; experience working on projects that requires multi-level coordination. Strong customer service skills and service orientation. Preferred: Experience designing and developing automated analytic software, techniques, and algorithms. Experience with statistical software (Stata, R, Winbugs). Familiarity with and or experience in statistical modeling, management of missing data, and censoring truncation.

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.

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