This role focuses on the design, development, and implementation of information technology (IT) solutions in order to meet the organization's needs through new and existing applications, systems architecture, network systems and applications infrastructure and the management of the IT infrastructure. In addition, this role focuses on performing the following Software Product Development duties: Designs, tests, and develops software products (end user applications, systems software, mobile/web applications, database products, etc.); Conducts requirements analysis and high-level design/modeling to convert external customer needs into software solutions; designs and specifies the overall software structure, core elements, and properties by analyzing the software requirements, constraints, interfaces, and dependencies. Uses programming, scripting, and/or database languages to write the software code. A professional individual contributor role that may direct the work of other lower level professionals or manage processes and programs. The majority of time is spent overseeing the design, implementation or delivery of processes, programs and policies using specialized knowledge and skills typically acquired through advanced education. A senior level role that requires advanced knowledge of job area typically obtained through advanced education and work experience. Typically responsible for: managing projects / processes, working independently with limited supervision, coaching and reviewing the work of lower level professionals, resolving difficult and sometimes complex problems. Job Overview The Clinical and Translational Science Institute (CTSI) is seeking a highly motivated Software Product Development Analyst III to support clinical and translational research by extracting, transforming, analyzing, and interpreting data from diverse clinical, research, and administrative systems. The analyst will work closely with investigators, project managers, and informatics staff to deliver high-quality datasets and notebooks that advance research and improve data-driven decision making. Examples of day to day tasks include: extract and manage data from institutional data warehouses; develop, maintain and document high quality reusable queries, and pipelines; translate complex research questions into structured data requests and analytic workflows; collaborate with CTSI informatics, and research teams to support grant-funded and investigator-initiated studies; contribute to data governance and quality assurance processes that ensure regulatory compliance; and facilitate process improvement initiatives.
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
1,001-5,000 employees