Clinical Data Analyst

Summary

Join Vida, a virtual health clinic, and contribute to improving healthcare outcomes. As a Clinical Data Analyst, you will partner with cross-functional teams to monitor and report on clinical outcomes, ensuring data quality and driving data-driven decisions. You will analyze clinical data from various sources, develop dashboards and reports, and collaborate with analysts, data scientists, and clinical researchers. This role requires a Bachelor's degree in a quantitative field, 1-2 years of data analysis experience in healthcare technology, and proficiency in SQL and other business intelligence tools. Experience with clinical analytics, HIPAA, and data privacy is essential. Vida offers a competitive salary and a commitment to diversity and inclusion.

Requirements

• Bachelor’s degree in a quantitative field (e.g., mathematics, statistics, computer science, economics, or related)
• 1-2 years experience as a data analyst in the healthcare technology space or related field
• Familiarity with Google Cloud Platform, Looker (data visualization), dbt, or other business intelligence tools
• Proficiency with SQL and familiarity with Python or R and ability to write clean, maintainable code for data analysis
• Clinical analytics training and including experience analyzing clinical outcomes data (both biometric and self-reported) and healthcare claims (medical and pharmacy) data
• Knowledge of HIPAA, data privacy guidelines as they relate to PHI and digital health
• Experience with claim files and definitions
• Experience working with multidisciplinary technical teams including product managers, designers and engineers
• Experience in data/database management
• Proactive and collaborative working style and ability to work with both technical and non-technical teams
• Experience in a startup or fast-growing company
• Basic statistical analysis

Responsibilities

• Partner with customer success, product and enterprise teams to support robust clinical outcomes monitoring and reporting
• Clinical data quality control and cleaning
• Clinical (biometrics, self-report, survey-based, claims-based) data reporting for internal and external clients
• Clinical outcomes analytics that includes trend analysis and creating visualizations to communicate health outcomes and drive cost efficiency within a clinical protocol/intervention
• Develop dashboards, reports and documentation to help teams make data-driven decisions
• Collaborate with other analysts, data scientists, engineers and clinical researchers to ensure data quality and analytical rigor

Preferred Qualifications

Interest in learning new platforms, tools and innovations in data analytic

Benefits

• $100,000 - $115,000 a year
• #LI-remote