ANALYST PROGRAMMER II
ANALYST PROGRAMMER II
Population Health Sciences
OCCUPATIONAL SUMMARY: Develop, update, and maintain SAS programs to meet the data management, reporting, data characterization, validation and quality assessment and other statistical programming needs of the Duke Department of Population Health Sciences. The DPHS Analyst Programmer II 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 application of good clinical data management practices. The DPHS Analyst Programmer II designs and maintains programs, datasets, software tools and reports, including visualization, of large medical claims and electronic health record databases. Close collaboration with other disciplines and departments within and across Duke and external organizations is necessary. Demonstrates strong attention to detail, excellent communications skills, as well as talent, motivation and commitment for working with complex data and computing environments in support of the DPHS data core and research initiatives.
- Process and load electronic health data and maintain large, observational databases in the DPHS data core to support a wide array of internal department, across Duke and external research studies (30%)
- Design, code, test, execute and document SAS programs for data characterization, validation and quality assessment, analysis dataset creation, data analysis, data conversion/transfer, graphic production and project reporting (30%)
- Respond to scheduled and ad hoc requests from distributed research network collaborators to execute programs and deliver results for query tool functionality, data characterization, validation, and quality assessment.
- Assist in analyzing statistical programming needs in project proposals and guide project personnel in formulating appropriate data requirements; recommend optimum approach and develop SAS programsfor 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) (10%)
- Develop and maintain a working knowledge of statistical principles and analyses considerations taken into account during planning of health services research.
- Develop software tools to support DPHS data core and research infrastructure and ongoing research studies (15%)
- 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 (preparing training materials as necessary) (5%)
- 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.
1040 ANALYST PROGRAMMER II
Job Family Level
Full Time / Part Time
Regular / Temporary
Work requires a Bachelor's degree in mathematics or computer science or a computer-related field OR AN EQUIVALENT COMBINATION OF RELEVANT EDUCATION AND/OR EXPERIENCE.
Work requires two years applications programming experience with some responsibility for systems design and supervision or project coordination.
Strong Base SAS, SAS/Macro, and SAS/Graph skills required.
- Two years of progressive SAS programming experience in a clinical environment strongly preferred.
- Experience in health services research environment, especially distributed data network strongly preferred.
- Experience working with observational data and with large healthcare datasets including EHR, Medicare, or other healthcare claims datasets preferred.
Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender expression, gender identity, national origin, race, religion, sexual orientation, or veteran status. Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.
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Duke University is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, genetic information, gender, gender expression, gender identity, national origin, race, religion, sexual orientation, or veteran status.
Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.