Conduct analysis and evaluation of internally and externally funded health services research projects including observational studies and randomized control trials. Work with claims, administrative and electronic health record data to assess health outcomes and cost reduction of different patient populations. Sources include Medicare and Medicaid claims, the IBM MarketScanÂ® Research Databases, PCORnet, CAPriCORN, National Death Index (NDI), NIH National COVID Cohort Collaborative (NC3) and Epic Systems, among others.
Design and develop technical architecture, statistical models and analyses using relevant software such as SAS, Stata, R, Python and SQL.
Advise research collaborators on statistics or biostatistics and the appropriate selection and application of analytic methods and algorithms. This includes advising collaborators in the selection of appropriate research methods and sample size calculation.
Prepare statistics and measures for teams and produce reports and presentations as needed for funders and diverse audiences. Create meaningful data visualizations including charts, infographics, and other visual data elements to effectively highlight findings.
Manipulate, build large datasets and navigate relational databases. This includes effectively integrate data sets to improve scope of research and quality of data.
Identify and procure relevant data from internal and external sources, including practice sites, university systems and departments, as well as local, regional, national, and global population data which can be used to improve practice, teaching, and discovery.Â
Collaborate with staff and faculty to assess data needs and implement user-driven solutions. Â
Assist faculty members to develop and write methods sections of project reports, grant applications and papers.
Develop expertise in independent grant applications as CO-Investigator.
Communicate findings and share knowledge of advanced study design, methodologies, best practices and programming with other investigators and data users as appropriate.
Lead and manage individual projects, as well as collaborate with a team of faculty, hospital clinicians, analysts, administrators and students.
Prepare and present key measures designed to assess results and progress of these projects. Â
Assist in the development of proposals as well as post-award reports and metrics.
Oversee research assistants and students in the performance of student projects, data management and data analyses.Â
Has a deep understanding of methods to analyze complex data sets for the purpose of extracting and purposefully using applicable information. May develop and maintain infrastructure that connects data sets.
Calibrates data between large and complex research and administrative datasets. Guides and may set the operational protocols for collecting and analyzing information from the University's various internal data systems as well as from external sources.
Performs other related work as needed.
Advanced degree in statistics, biostatics, computer science, mathematics, economics, sociology, epidemiology, operations research, or related field.
Prior experience with data modeling, data analysis and demonstrated ability to contribute to research papers or grant proposals.
Strong working knowledge with relational database tools and programming languages (R, Python, PySpark, SQL, Stata, SAS) and health-related analyses.
Prior experience working with large longitudinal data sets such as healthcare surveys, hospital administrative, billing and electronic health record data, health related data consortiums and Medicare or private claims data.
Supervisory and project management experience. Â
Excellent communication skills, both written and verbal.
Ability to work independently and as part of a team and motivation to explore and apply new technologies and methods to solve complex research problems.
Ability to work simultaneously with multiple investigators, prioritize competing objectives, and identify opportunities to more efficiently accomplish analytical tasks.
Ability to work in a fast-paced environment.
Cover Letter (required)
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