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Geisinger Health System Healthcare Data Analyst IV in Annapolis, Maryland

Job Summary

The Healthcare Data Analyst IV uses extensive clinical data expertise, programming abilities, and critical thinking skills to deliver innovative solutions, and act as a strategic thought partner on a broad spectrum of research projects involving clinical data. Analysts work collaboratively with investigators in the design and development of high-quality data products that identify opportunities for disease prevention as well as improved patient outcomes. Responsible for providing technical and data leadership, oversight and mentorship to more junior data analysts regarding data content and quality for high visibility projects. Takes leadership role in development of code to deliver high quality products on time to consumers. Mentors junior staff by offering project feedback and code review. Leads efforts to determine goals, priorities, and decision making when working with research staff. Leads projects for both internal and external clients. Takes leadership role in efforts to assess, recommend, implement, troubleshoot, validate, and interpret results. Participates in project planning/budgeting activities and management of analytic resources. Experience in developing programs using large relational database models written in SQL and/or SAS required. Extensive experience in the area of health research or healthcare analytics using data from an electronic health record (preference for Epic’s Clarity models) or health claims and expert understanding of clinical terminologies (e.g. ICD, CPT, HCPCS etc.) required. The candidate must also possess superb critical thinking and excellent written and verbal communication skills for effectively working and communicating across cross-functional teams.

Job Duties

  • Reviews and provides strategy and direction on various complex data extraction and linkage solutions in building of large, complex analytic datasets to support Research activities.

  • Leads the design, testing, validation, analysis and merging of complicated data structures from a wide variety of source systems.

  • Serves as a data resource and data content expert for research project teams and interacts directly with clients and investigators.

  • Able to communicate complex analytical, technical information, results/recommendations to senior management and research staff or to audiences with or without clinical training.

  • May supervise staff in communication efforts.

  • Leads development of significant contributions, and/or provides technical leadership to high visibility projects and decision making of those projects as well as development of complex phenotype algorithms.

  • Critical strategic partner in collaborations with investigators to identify key areas and priorities based on analytic insights and data analysis.

  • Leader in knowledge of research methodology and research data collection and proactively shares knowledge with more junior staff.

  • Leads discussions that proactively educate the requester of any complexities associated with the data request and translates complexities, issues, needs into development of effective strategies and action plans.

  • Oversees, leads and consults on all phases of SAS/SQL/analytical programming, data management, quality control and reporting of research data.

  • Provides mentorship and oversight in identification and resolution of problems using knowledge, background and interactive problem solving and troubleshooting skills.

  • Directs efforts to ensure accuracy, data integrity and validity of data and analysis in all work.

Work is typically performed in an office environment. Accountable for satisfying all job specific obligations and complying with all organization policies and procedures. The specific statements in this profile are not intended to be all-inclusive. They represent typical elements considered necessary to successfully perform the job.

*Relevant experience may be a combination of related work experience and/or Master's degree obtained (Master's Degree = 2 years relevant experience).

Education

Bachelor's Degree-Computer Science, Information Systems, Information Science (Required)

Experience

Minimum of 8 years-Relevant experience* (Required)

We are an Affirmative Action, Equal Opportunity Employer Women and Minorities are Encouraged to Apply. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of disability or their protected veteran status.

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