Position has re-opened.
MUST be interested in new development.
Six month contract to hire at Duke University Medical Center.
Hourly Rate $60/hour.
Work requires two years of progressively complex SAS programming experience in a clinical environment. Experience in health services research or distributed data network environment strongly preferred. Experience working with observational data and with large healthcare datasets including EHR, Medicare, Medicaid or other healthcare claims datasets is strongly preferred. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
The DPHS Analyst Programmer II develops, updates, and maintains SAS programs to meet the data management, reporting, data characterization, validation, quality assessment and other statistical programming needs of the Duke Department of Population Health Sciences (DPHS). S/he has an understanding of electronic health data, health insurance claims data, clinical registry data, healthcare coding algorithms, distributed research networks, research data standards and reporting, data visualization, as well as familiarity with the application of good clinical data management practices. The DPHS Analyst Programmer II designs and maintains programs, datasets, software tools and reports, including visualizations, of large electronic health databases. Close collaboration with other disciplines and departments within and across Duke and external organizations is necessary. S/he demonstrates strong attention to detail, excellent communication skills, as well as talent, motivation and enthusiasm for working with complex data and computing environments in support of the DPHS DataShareTM and research initiatives.
Process and load electronic health data and maintain large, observational databases in the DPHS DataShareTM, an extensive collection of research-ready healthcare data which supports a wide portfolio of research studies within the Department and across Duke. (40%)
· Design, code, test, execute and document SAS programs for data characterization, validation, quality assessment, analytic dataset creation, data analysis, data conversion/transfer, graphic production and project reporting. (20%)
Assist in analyzing statistical programming needs in project proposals and guide project personnel in formulating appropriate data requirements; recommend optimum approach and develop SAS programs for approved projects.
Consult on and provide direct technical support for research projects of high complexity and often requiring solutions not previously utilized by project team or work group.
Perform complex, integrated computer programming and software development for clinical data applications (including maintenance of existing systems and research/development for future enhancements). (20%)
Develop and maintain a working knowledge of statistical and machine learning principles and advanced statistical programming techniques to support health services research studies.
Develop tools for organizing and searching healthcare coding algorithms for diseases, outcomes, procedures and drugs.
Maintain and apply a strong working knowledge of healthcare coding algorithms, clinical research informatics and healthcare analytics techniques.
Collaborate with staff, faculty and sponsors on study objectives, analysis and database planning. (10%)
Work with all members of the project team on a regular basis to meet project deliverables.
Train other users. (10%)
Prepare training materials and give presentations to statisticians and other users; interface with and serve as liaison to clients regarding special requests and operational issues as they arise.
Perform other related duties incidental to the work described herein.
The above statements describe the general nature and level of work being performed by individuals assigned to this classification. This is not intended to be an exhaustive list of all responsibilities and duties required of personnel so classified.
REQUIRED QUALIFICATIONS AT THIS LEVEL
Education/Training: Work requires Bachelor's degree in mathematics or computer science or a computer-related field, or equivalent coursework or technical training. Strong Base SAS, SAS/Macro, and SAS/Graph skills required.
Experience: Work requires two years of progressively complex SAS programming experience in a clinical environment. Experience in health services research or distributed data network environment strongly preferred. Experience working with observational data and with large healthcare datasets including EHR, Medicare, Medicaid or other healthcare claims datasets is strongly preferred. OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE
Skills: Excellent SAS (Enterprise Guide, SAS in Unix environments, Base SAS, SAS/Macro, and SAS/Graph) skills required. Experience with Oracle and SQL databases, R, scripting languages (e.g., Python, Visual Basic), Web development and Unix environments preferred.