Clinical Data Scientist -- Research and Quality

Responsibilities: The role is split evenly between supporting enterprise cardiovascular quality improvement initiatives and clinical outcomes research. Key tasks include developing performance dashboards, conducting statistical analyses for real-world evidence studies, and collaborating with physician leaders.

Requirements: Requires a Bachelor's degree in a health or data science field and over 5 years of experience in clinical research or quality analytics. Proficiency in SQL, SAS, and PowerBI is essential, with a preference for advanced degrees and Python/R skills.

Key skills: SQL, SAS, Microsoft Excel, PowerBI, Python, R, Healthcare Analytics, Clinical Research, Outcomes Research, Quality Improvement Analytics, Data Extraction, Statistical Analysis, Dashboard Development, EHR Data Analysis, Claims Data Analysis, Registry Data Analysis

Keywords: Cardiovascular Medicine, MIPS, MVPs, Clinically Integrated Network, Health Services Research, IRB, Data Governance, Real-World Evidence, EHR, Claims Data, Registry Data, CMS Quality Programs, ACOs, Biostatistics, Epidemiology, Public Health, Healthcare Administration, PowerBI, SQL, SAS, Python, R, Clinical Trials, Observational Studies, Patient Safety