Durham, North Carolina

School of Medicine:


Established in 1930, Duke University School of Medicine is the youngest of the nation’s top medical schools. Ranked tenth among its peers, the School takes pride in being an inclusive community of outstanding learners, investigators, clinicians, and staff where traditional barriers are low, interdisciplinary collaboration is embraced, and great ideas accelerate translation of fundamental scientific discoveries to improve humanhealth locally and around the globe.


Comprised of 2,400 faculty physicians and researchers, the Duke University School of Medicine along with the Duke University School of Nursing and Duke University Health System create Duke Health. Duke Health is a world-class health care network. Founded in 1998 to provide efficient, responsive care, the health system offers a full network of health services and encompasses Duke University Hospital, Duke Regional Hospital, Duke Raleigh Hospital, Duke Primary Care, Private Diagnostic Clinic, Duke Home and Hospice, Duke Health and Wellness, and multiple affiliations.



The Duke Population Health Sciences (DPHS) Analyst Programmer Senior serves as an expert resource in supporting data analytics for the DPHS portfolio by performing a variety of activities related to data analytics including: processing, querying, analysis and reporting. The DPHS Analyst Programmer Senior possesses a fluent understanding of electronic health record, health insurance claims, and clinical registry data, healthcare coding algorithms, distributed research networks, research data standards and reporting, data visualization techniques, as well as familiarity with the application of good clinical data management practices. The AP Senior demonstrates strong initiative, attention to detail, excellent communications skills, as well as motivation and enthusiasm for working with complex data and computing environments in support of the DPHS DataShare and research initiatives. Close collaboration with other disciplines and departments within and across Duke and external organizations is necessary.



Technical, Including Analytical and Research Support

  • Assess, process and load electronic health data and maintain large, observational databases in the DPHS DataShare, an extensive collection of research-ready electronic health data.
  • Perform queries of Duke EHR data via Epic Clarity and other query tools.
  • Design, code, test, execute and document SQL and SAS programs for data analytics, data characterization, validation and quality assessment, analysis dataset creation, data analysis, data conversion/transfer, graphic production and project reporting.
  • Perform SAS programming and descriptive statistics in support of DPHS projects.
  • Design analysis data set specifications, find errors, correct, and validate output and results.
  • Provide informatics support on research projects, including requirements analyses, design, technical specification development, data collection, analysis, presentation, and reporting.  Leverage cross-discipline training and experience to capture project requirements, while facilitating participation by clinical, scientific, operational, and information technology stakeholders.
  • Demonstrate expert knowledge in domain modeling, relational database design, programming language(s), SAS, data transfer methods, and electronic health record and health care claims standards and/or analytical techniques used in research programs.  Maintain an understanding of emerging tools and technologies.
  • Process and load electronic health data and maintain large, observational databases in the DPHS DataShare to support a wide array of internal department, across Duke and external research studies
  • Perform complex, integrated computer programming and software development for clinical data applications (including maintenance of existing systems and research/development for future enhancements)
  • Develop and maintain knowledge of terminologies and coding procedures used in research and the health care environment.
  • Develop software tools to support DPHS DataShare and research infrastructure and ongoing 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.
  • Work closely with information technology support for network, database, and hardware/software requirements throughout the software development lifecycle representing the research project requirements.
  • Collaborate with staff, faculty and sponsors to determine the appropriate analytic design approaches to surveillance and research projects
    • Work with all members of the project team on a regular basis to meet project deliverables.
  • Provide technical instruction and training to other DataShare analysts (e.g., programmers, biostatisticians, etc.)
    • 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



Work requires Bachelors degree in mathematics or computer science or a computer related field or equivalent coursework or technical training.



Work requires four years of progressive programming experience which includes experience as a member of a development team implementing a major system and experience in a supervisory capacity.



Preferred Experience

  • Experience in health services research environment strongly preferred.
  • Experience with large health care data sets including electronic health records, Medicare claims, or other health care claims data sets preferred.
  • SAS (Enterprise Guide, SAS in Unix environments, Base SAS), Oracle, Microsoft Access, SQL, R, scripting languages (e.g., Python, Visual Basic), Web development and Unix skills preferred.
  • Experience with distributed data networks preferred.



Licensure/Certification:  If not achieved prior to employment, certification in indicated Epic data model(s) and module(s) is required within 6 months of employment except where otherwise negotiated; certification in an indicated Epic model is a condition of employment.  Relevant data model and modules will be communicated at the time of employment.  Certification is required on the Epic version current at DUHS.


Duke is an Affirmative Action/Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex, sexual orientation, or veteran status.


Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.


Essential Physical Job Functions: Certain jobs at Duke University and Duke University Health System may include essentialjob 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.


Durham, North Carolina

As a world-class academic and health care system, Duke Health strives to transform medicine and health locally and globally through innovative scientific research, rapid translation of breakthrough discoveries, educating future clinical and scientific leaders, advocating and practicing evidence-based medicine to improve community health, and leading efforts to eliminate health inequalities.

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