Full-Time Healthcare Data Scientist - SAS Programmer

As a Data Scientist, you will work with our client services and product delivery teams to build data solutions to feed our healthcare performance-measurement and analytic web applications. These applications help our clients optimize the quality and cost-efficiency of hospital and specialty care.We are looking for technical, organized, and strong communicators to facilitate product delivery for our clients. This includes all aspects of analytic projects including: designing analytic plans, dataset preparation, data quality validation, analytic programming, and the interpretation and communication of findings.

We are looking for a strong data scientist with advanced SAS and SQL programming abilities, problem-solving, and excellent communication skills.

Our clients include hospitals and health systems, collaborative quality initiatives, and professional societies across various surgical specialties, health plans, and accountable care organizations.

Primary Responsibilities

• Manage and analyze large data sets including clinical registries, administrative data, billing claims, insurance and other data sets and statistical analysis
• 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 the performance of the models
• Communicate effectively with internal and external stakeholders on analytic data processing
• Ability to assess technical challenges and program solutions, and solve complex problems
• Proven history 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)
• At least 2-3 years of analytic programming experience, preferably in healthcare

Skills required

• SAS
• SQL
• Python
• Statistical Modeling
• Data Analysis

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