Join the Future of Healthcare: Become a Clinical Data Analyst at Vida
Are you passionate about using data to drive positive change in healthcare? Do you have a knack for analyzing complex data sets and deriving actionable insights? At Vida, we're on a mission to revolutionize the way people access and manage their health. We're seeking a talented Clinical Data Analyst to join our team and help us harness the power of data to improve health outcomes and transform the healthcare experience.
About Vida: Revolutionizing Healthcare through Technology
Vida is a virtual health clinic that provides expert, personalized, on-demand health coaching and programs from a network of experienced healthcare providers. Our platform focuses on managing chronic cardiometabolic conditions, such as diabetes, obesity, and hypertension, as well as achieving lifestyle health goals like healthy eating, exercise, weight loss, and stress reduction. By combining advanced technology with top-notch healthcare providers, we're breaking down barriers to access high-quality care. Our platform is trusted by Fortune 1000 companies, major national payers, and large providers to enable their employees to live their healthiest lives.
Our Mission and Values
At Vida, we're driven by a passion for improving healthcare and empowering individuals to take control of their health. Our core values include:
- Patient-centricity: We put the needs of our patients at the forefront of everything we do.
- Innovation: We're committed to leveraging technology and data to drive innovation in healthcare.
- Collaboration: We believe in the power of teamwork and collaboration to achieve our goals.
- Excellence: We strive for excellence in everything we do, from the quality of our care to the user experience of our platform.
The Role: Clinical Data Analyst
As a Clinical Data Analyst at Vida, you'll play a critical role in supporting our mission to improve health outcomes and transform the healthcare experience. You'll work closely with cross-functional teams, including customer success, product, and enterprise teams, to drive robust clinical outcomes monitoring and reporting. Your expertise in data analysis, clinical research, and healthcare technology will help us make data-driven decisions and optimize our clinical protocols and interventions.
Key Responsibilities:
- Clinical Data Quality Control and Cleaning: Ensure the accuracy, completeness, and consistency of clinical data, including biometric, self-reported, survey-based, and claims-based data.
- Clinical Data Reporting: Develop and maintain reports, dashboards, and visualizations to communicate health outcomes and drive cost efficiency within clinical protocols and interventions.
- Clinical Outcomes Analytics: Conduct trend analysis, create visualizations, and develop insights to inform data-driven decisions and optimize clinical protocols and interventions.
- Collaboration and Communication: Work closely with analysts, data scientists, engineers, and clinical researchers to ensure data quality, analytical rigor, and effective communication of insights.
- Data Management and Governance: Develop and maintain data management processes, ensure data privacy and security, and comply with regulatory requirements, including HIPAA.
Requirements and Qualifications:
Essential Qualifications:
- Bachelor's Degree: In a quantitative field, such as mathematics, statistics, computer science, economics, or a related field.
- Experience: 1-2 years of experience as a data analyst in the healthcare technology space or a related field.
- Technical Skills: Proficiency with SQL, familiarity with Python or R, and experience with business intelligence tools, such as Google Cloud Platform, Looker, or dbt.
- Clinical Analytics Training: Experience analyzing clinical outcomes data, including biometric and self-reported data, and healthcare claims data.
- Knowledge of HIPAA and Data Privacy Guidelines: Understanding of HIPAA regulations and data privacy guidelines related to protected health information (PHI) and digital health.
Preferred Qualifications:
- Experience with Claim Files and Definitions: Familiarity with claim files and definitions.
- Multidisciplinary Technical Teams: Experience working with multidisciplinary technical teams, including product managers, designers, and engineers.
- Data/Database Management: Experience in data/database management.
- Proactive and Collaborative Working Style: Ability to work proactively and collaboratively with both technical and non-technical teams.
- Startup or Fast-Growing Company Experience: Experience working in a startup or fast-growing company.
- Basic Statistical Analysis: Knowledge of basic statistical analysis.
- Interest in Learning New Platforms, Tools, and Innovations: Willingness to learn new platforms, tools, and innovations in data analytics.
What We Offer:
Compensation and Benefits:
We offer a competitive salary and a comprehensive benefits package, including:
- Remote Work Opportunity: Work from anywhere and enjoy a flexible work environment.
- Professional Development: Opportunities for professional growth and development in a fast-paced and innovative environment.
- Collaborative Culture: Work with a talented team of professionals who share a passion for improving healthcare.
- Recognition and Rewards: Opportunities for recognition and rewards for outstanding performance.
Why Join Vida?
At Vida, we're committed to revolutionizing the way people access and manage their health. By joining our team as a Clinical Data Analyst, you'll have the opportunity to:
- Make a Meaningful Impact: Contribute to improving health outcomes and transforming the healthcare experience.
- Work with a Talented Team: Collaborate with a talented team of professionals who share a passion for improving healthcare.
- Grow Professionally: Develop your skills and expertise in a fast-paced and innovative environment.
- Enjoy a Flexible Work Environment: Work from anywhere and enjoy a flexible work environment.
How to Apply:
If you're passionate about using data to drive positive change in healthcare, we encourage you to apply for this exciting opportunity. Please submit your application, including your resume and a cover letter, to [insert contact information]. We can't wait to hear from you!
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