Conduct literature reviews to help develop and refine metrics for a range of medical conditions and procedures
Create and validate measures using proprietary technical and statistical tools
Maintain a library of documentation for internal and external stakeholders
Work closely with clinical experts
Collaborate with product, data science, and engineering teams to support new product development, figuring out creative ways to use the metrics we have developed to save the US healthcare system money and help improve quality of care for patients
Requirements
Minimum 1 year (preferably 2+ years) working with health insurance claims data or electronic health record (EHR) data
Working knowledge of how to utilize ICD and CPT codes, as well as their limitations
Bachelor’s degree required. Masters degree or above in public health, biostatistics, epidemiology, or related fields preferred
Strong biostatistics and epidemiological background required
Basic coding experience (SQL, Python, Stata, R, or SAS) required
Strong interest in healthcare and clinical best practices research
An aptitude to learn new technologies and tools quickly
Strong written and verbal communication skills
A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback