Duties: The Sr. Data Analyst will independently design data base systems to fully capture national outcomes data for the Department of Surgery. These systems will be used by Department of Surgery faculty to develop surgical outcomes programs for clinical and research purposes. This individual should have significant, proven experience in the design of complex data systems for the analysis of medical outcomes. Individual will have a main leadership role and will be responsible for the supervision of all statistical research statistical staff. Responsibilities include designing, testing and delivering new system solutions to meet organizational needs;
designing web user interfaces for data collection and management; querying databases to create reports and determine the accuracy of data entered; exporting/importing data between different sources; performing statistical analysis and statistical programming using SAS, Stata, and other tools; learning and applying new statistical techniques for existing projects or proposals; supporting the writing of manuscripts for peer reviewed journals communicating with staff for ongoing project management; training users of various database systems; develop and support the school's websites, applications and databases. Design and develop innovative solutions to streamline workflows and provide development support for future projects working in collaboration with the PI. Build and maintain strategic, high-level relationships across the School and University to leverage resources and maintain knowledge of new or emerging technologies and solutions.

Qualifications: The minimum of a Bachelor's degree and 4 years of experience in application development or an equivalent combination of education and experience required; Master's degree strongly preferred. Candidates should have some knowledge of health economics concepts and health services delivery. Experience in economic research methods, economic analysis and SAS or STATA is preferred. Prior experience in clinical research and regulatory work is preferred. Position contingent upon funding. Must have a clear understanding that clinical outcomes data is not released without prior approval of the PI or Division Administrator. Knowledge of Institutional Review Board Policies and Procedures preferred. Strong analytical and problem solving skills along with excellent interpersonal and customer service skills to provide effective consultation and solutions to clients. Strong written and verbal communication skills a must. Enterprise-level project management experience with the ability to manage multiple complex, high priority projects with attention to detail and the ability to meet deadlines. Candidate must be able to exercise initiative and judgment in setting priorities and working independently. Candidate must be a mature, professional, and pleasant team player.

Reference Number: 40-26693

Salary Grade: E

Employment Type: Exempt

Org: SU-Surgery Administration

Special Requirements:

Job Family: E-Information Systems/Technology

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