Job description

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 Pragmatic Health Systems Research (PHSR) Informatics Analyst I supports data analytics in the PHSR portfolio by performing a variety of activities related to data management, analysis, reporting, and visualization utilizing data generated as a by-product of health care delivery such as electronic health record (EHR) data, claims data, and registry data.

The PHSR Informatics Analyst I has an understanding of EHR data, claims data, distributed research networks, research data standards and reporting, data visualization, and good clinical data management and clinical informatics practices. The PHSR Informatics Analyst I curates large medical claims and electronic health record data sets according to departmental and industry standards, often in a distributed research data environment. Close collaboration with other disciplines and departments within and across Duke and external organizations is necessary.

The Informatics Analyst I is typically an informatics specialist on one or more clinical research projects of moderate complexity and works closely with other informatics staff and researchers.


Technical, Including Analytical and Research Support:

  • 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.
  • Work with study teams to prioritize requirements and assure feasibility.
  • Create technical and functional specifications for assisting data marts, sites, and partners in identifying potential study participants based on characteristics, inclusion/exclusion criteria, and other information listed in the study protocol or concept sheet.
  • Develop and build knowledge of terminologies and coding procedures used in research and the health care environment.
  • Provide training on informatics-related concepts, applications and tools.
  • Assist with data characterization and data profiling.
  • Perform and contribute to established data characterization processes that involve data mining, visualization or use of other analytics.
  • Maintain and run programs to perform analyses and generate both routine and ad hoc reports.
  • Build a strong knowledge base in domain modeling, relational database design, programming language(s) such as SAS, data transfer models, and electronic health record and health care claims standards and/or analytical techniques for use in research programs.
  • Use and support web-based informatics tools, public domain health databases and software tools for sequence, domain, and structural analysis.
  • Acquire an understanding of emerging tools and technologies.
  • Work within relational databases and domain models and data analysis software.
  • Assist with UAT code creation for data curation; run test cases and document findings. Contribute ideas to data profiling strategies.
  • Respond to research requests (aka Front Door requests) by executing query and modifying existing code as needed; compile QA results; prepare reports.
  • Develop analytical code lists (DX, PX, RXCUI, NDC, LOINC, etc.) for queries, documenting for reuse.
  • Develop and maintain functional requirements, technical specifications, and work plans for distributed research queries (SAS programs). Document specs and coordinate with programming/stats staff for tech review/approval.
  • Lead and conduct data validation and user acceptance testing. Develop test cases that validate technical specifications with the functional requirements. Coordinate user acceptance testing and other quality assurance activities by external beta-testers. Document validation/testing plan and results.
  • Assist in summarizing findings using Excel, PowerPoint, and SAS, or other tools.
  • Troubleshoot issues across projects (including technical or process errors), and identify root causes and opportunities for improvements.

    Project Management:
  • Follow departmental project management (PM) processes. Responsible for assigned work contributing to the success of the project.
  • Assist in defining work requirements for new projects and monitor the scope of assigned work within an ongoing project. This includes working with internal and external collaborators. Analyze and resolve issues that have the potential to jeopardize agreed upon deliverables.
  • Contribute to project data discussions and working closely with the project team to define and execute data work flows.
  • Develop knowledge of data governance and best practices. Contribute to project specific Research Data Security Plans (RDSP).
  • Contribute to lessons learned as a routine part of the project lifecycle.
  • Develop knowledge of data governance and best practices. Contribute to project specific Research Data Security Plans (RDSP).
  • Actively plan, manage, and report on work status; seek efficiencies wherever possible.
  • Recommend new business opportunities, new systems and processes, and improvements in operations. Implement operational improvements approved by senior management.
  • Develop and maintain positive and effective relationships with informatics and cross-functional staff and collaborators, both within and external to DCRI.
  • Ensure timely delivery of assigned deliverables; keep task status current in project management (PM) tools.
  • Work with internal and external collaborators to resolve issues that jeopardize timelines and deliverables.
  • Contribute ideas for the functional requirements, cohort identification, technical specification, work plan, and associated code lists.
  • Responsible for query distribution and compilation according to project established schedule.
  • Draft data work flow processes and document appropriately (e.g. Data Management/Linkage Plan, RDSP, etc.).

    Skill Development, Mentoring, Publications and Presentations:
  • Educate internal and external partners on the value, role, and methodology provided by informatics and health services research.
  • Participate in training on informatics and health services data related concepts, applications, and tools.
  • Maintain working knowledge of biomedical informatics, including technology, standards, systems, and methodologies used in health care and related research.
  • Peer-review work of informatics analysts and assist in training new staff.
  • Contribute to the development of training material and process documentation for both the department and for assigned projects.
  • Assist in preparation of publications and presentations.
  • Present at conferences and/or contribute to articles published in peer reviewed journals.

  • Perform other related duties incidental to the work described herein.
  • Travel may be required.


  • Familiarity with relational database design and data integration principles, programming languages (including SAS), and data transfer techniques. Curiosity with emerging tools and techniques.
  • Familiarity with basic statistical principles.
  • Familiarity with healthcare data. Develop knowledge of coding terminologies and coding practices for research and healthcare.
  • Strong written and oral communication skills in a technical or healthcare environment.
  • One year of work experience in health care datasets preferred.
  • Preference for candidates with data visualization and reporting knowledge/skills.

Minimum Qualifications


Work requires a B.S. in Bioinformatics or the Biological Sciences with demonstrable computational skills; or a B.S. in Computer Science with a strong interest in Biology/Genomics or medical research or clinical trials.

M.S. preferred.



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.




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Job No:
Posted: 3/31/2021
Application Due: 6/29/2021
Work Type: Full Time