Full-Time Healthcare Data Scientist - SAS Programmer (remote)

As a Data Scientist, work with client services and product delivery teams to build data solutions for healthcare performance measurement and analytic web applications, helping clients optimize quality and cost-efficiency of hospital care.

Responsibilities include:

• Managing and analyzing large datasets (clinical registries, administrative data, billing claims, insurance data, etc.) and performing statistical analysis.
• Developing clear analytic plans.
• Creating efficient, reusable code for data manipulation and analysis using SAS, SQL, and potentially Python.
• Building statistical models, validating performance, and diagnosing issues.
• Communicating effectively with internal and external stakeholders about analytic data processing.
• Assessing technical challenges, proposing solutions, and resolving complex problems.
• Collaborating effectively in a team environment and handling multiple projects.
• Demonstrating experience in data manipulation and analysis using SAS, SQL and optionally Python.
• Processing large, complex health insurance claims datasets with SAS and SQL.
• Fitting and validating statistical models (e.g., linear and logistic regression).
• Interpreting model coefficients and working with servers, Linux command line, bash, or Windows Subsystem for Linux (WSL).
• Familiarity with Git and GitLab preferred.
• Experience with advanced machine learning models (e.g., random forests, LLMs) a plus.
• Strong written and oral communication skills.
• A record of academic and/or business achievement.
• Bachelor's degree in a relevant field (e.g., Information, Operations Engineering, Statistics, Mathematics, IT, Computer Science) preferred.
• At least 2-3 years of analytic programming experience, ideally in healthcare.

Company culture: A collaborative and innovative team focused on continuous improvement.

Location Restrictions: Remote in US only, not hiring in CA, CO, NY, or WA.

Salary Range: $85,000 - $105,000 annually.

Equal Opportunity Employer: We value diversity and do not discriminate based on protected characteristics.

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