We aim to hire Data Scientists with expertise in SAS programming and experience with Medicaid claims data. When you join our team, you’re not just bringing your expertise; we are committed to fostering your professional development goals and supporting your career advancement through continued learning opportunities.

Job Responsibilities include:

Composes and assembles reproducible workflows and reports to clearly articulate patterns to researchers and/or administrators

Implements appropriate data science techniques under the guidance of other data scientists, statisticians, and/or other researchers to find data patterns and answer research questions chosen by the lead researcher including data visualization, statistical analysis, machine learning, and data mining

Organizes and automates project steps for data preparation and analysis

Develop expertise in the content, structure, and idiosyncrasies of project-specific data by understanding the origin and interpretation of variables, as well as learning about policy issues related to the data

Documents approaches to address research questions

Prepares data sets for analysis including cleaning/quality assurance, transformations, restructuring, and integration of multiple data sources.

Strong written and oral communication skills

Strong organizational skills and attention to detail

At least one year of experience manipulating and merging large, complex administrative datasets for research purposes

At least one year of data life cycle management (DLM) experience including: data acquisition or collection, use, and long-term storage

At least one year of experience programming in SAS

Experience working with administrative medical claims and enrollment data, with preference for Medicaid claims experience and/or Wisconsin Health Information Organization (WHIO) data

Experience working in a public health, social science, policy, or health policy research environment

Working knowledge of LINUX operating system

Ability to set priorities, exercise initiative, solve problems, adapt to changes quickly, make independent judgments, work on multiple projects simultaneously, meet dynamic deadlines, and work independently and collaboratively as a team

Demonstrated strong work ethic and professionalism, including responsibility and reliability

A track record of positive impact in your local working environment and/or direct contributions to projects with a positive social impact

The Data Science team maintains and grows this collection, supporting the research mission of IRP in several ways. We extract, clean, restructure, merge, and harmonize large administrative data sets to construct longitudinal analytic datasets to fulfill project teams’ data needs. We are subject matter experts that provide data expertise, liaise between external and internal collaborators, automate project workflows, compose reproducible reports, and document methodologies to ensure transparency and replicability. In addition, we may support or perform analytic tasks to uncover data patterns or answer research questions.

Selected applicants will receive an invitation to participate in interviews following the application deadline. Once final applicants are identified, they will be asked to provide names and contact information for at least three professional references, including a current/former supervisor. References will not be contacted without advanced notice.

Candidates can choose whether they would like to work hybrid from Madison, Wisconsin, or remotely. Applicants that elect to work remotely must work within the contiguous USA.