Data Scientist

The Minneapolis VA Healthcare System (MVAHCS) is seeking a highly skilled and collaborative Data Scientist to support data, informatics, and technical needs across the Minneapolis VA Research and Development (R&D) Service. This individual will pay a key role in research data management, electronic health record (EHR) integration, database development, and informatics for investigators and research staff.The incumbent works under the administrative direction of the supervisor, who outlines the resources and objectives for work assignments based on mission or functional goals. The incumbent has responsibility for independently planning, designing, and carrying out programs, projects, studies, or other work. Considerable tact, personal initiative, resourcefulness, independence, and professional judgment are used with respect to resolve most of the conflicts that arise. The incumbent is responsible for the development of methodological approaches, study design, and advanced written, verbal, and visual communications of study/analysis output. The incumbent additionally contributes to the development of the design for advanced data systems, software, and complex programming specifications. Analyses generally inform decisions about how to design, implement, and evaluate administrative orders in the healthcare setting including, but not limited to analyzing electronic health record data to develop predictive analytics and medical image processing; high-impact AI technologies such as deep learning, trustworthy AI, privacy preserving AI, explainable AI, and multi-scale AI Analysis. The incumbent plans and implements research data strategies encompassing data monitoring, analysis, presentation, and interpretation to support study objectives. Collaborates with biostatisticians and research investigators to extract, mine, clean, analyze, and interpret research data; identifies, investigates and resolves data inconsistencies and errors in coordination with the research team. Position requires work experience with use of large longitudinal medical databases, statistical/analysis software platforms (e.g., Statistical Analysis System (SAS), familiarity with queries using structured query language (SQL) and visual programming tools, SQL development tools, or others. Performs statistical and quantitative analysis utilizing specially developed software models or procedures. Interpersonal communications and outreach, acquisitions and procurement, information technology, and financial management are the functional skills that will supplement those primary tasks. The incumbent leads or consults with cross-functional teams, staffed by federal civil servants and contractors, composed of professionals skilled in policy analysis, information technology, data engineering, and project management disciplines, in order to develop data-driven solutions that address the Department of Veterans Affairs (henceforth referred to as Agency ) program and business challenges. The above