Clinical Data Analyst

12 hours ago

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Vida Health

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Mobile Healthcare • Consumer and Enterprise Services • Chronic Condition Management • Digital Healthcare • Behavioral and Emotional Health

501 - 1000

Description

• At Vida, we help people get better — and we’re helping the healthcare system get better, too. • Vida is a virtual health clinic that provides expert, personalized, on-demand health coaching and programs from a network of experienced health care providers through an easy-to-use app. • We focus on managing chronic cardiometabolic conditions as well as achieving lifestyle health goals like eating more healthfully, getting more exercise, losing weight and reducing stress. • By combining advanced technology with top-notch healthcare providers, Vida is breaking down the barriers that have historically kept people from getting the best care. • We are trusted by Fortune 1000 companies, major national payers and large providers to enable their employees to live their healthiest lives. • Vida is authorized to do business in many, but not all, states—employment eligibility is state-dependent.

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