Healthcare Data Scientist - SAS Programmer (remote US only)

Ability to assess technical challenges and program solutions, and solve complex problems. Proven history of working in a collaborative team environment and flexibility in taking on multiple projects. Strong experience coding in data manipulation and analysis using SAS (required), SQL (required) and/or Python (preferred). Experience using SAS and SQL to process large, complex health insurance claims datasets. Experience fitting and validating common statistical models (e.g., linear and logistic regression, GLMs) and interpreting model coefficients. Experience working with servers and using the Linux command line, bash, or Windows Subsystem for Linux (WSL). Familiarity with Git and GitLab is preferred. Experience with more advanced machine learning models (e.g., random forests, LLMs) is a plus. Excellent written and oral communication skills. Record of academic and/or business achievement. Bachelor’s degree (Information, Operations Engineering, Statistics, Mathematics, IT, or Computer Science majors preferred).

Manage and analyze large data sets including clinical registries, administrative data, billing claims, and other datasets. Develop clear and well-structured analytic plans. Create efficient and reusable code to manipulate and analyze data. Build statistical models and diagnose, validate, and improve model performance. Communicate effectively with internal and external stakeholders on analytic data processing.