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Director, Health Economics & Outcomes Research (HEOR)

1 month, 1 week ago
United States
Full-time
Senior
Business Intelligence Analyst
Data Science and Analytics
Confluence GCP Git HIPAA JIRA Jupyter Machine Learning Python R SQL Statistics
Apply Now
Vida Health

Vida Health

Vida Health provides a comprehensive health platform that offers personalized coaching and expert guidance for individuals seeking to manage physical and mental health conditions, including weight loss and chronic disease prevention.

Health Care Providers & Services
251-1K
Founded 2013
$188M raised
View All Jobs 4

Description

  • Design, plan, and execute health outcomes analyses using biometric, claims, and clinical data.
  • Apply AI tools to accelerate literature review, analysis, coding, and manuscript drafting.
  • Conduct literature reviews and prepare peer-reviewed manuscripts and clinical white papers from concept through submission.
  • Use statistical methods such as multilevel/mixed-effects modeling, survival analysis, case-control difference-in-difference, budget impact analysis, and clustering.
  • Partner with growth, strategy, and clinical teams to produce evidence for enterprise sales, client retention, and value-based care contracting.
  • Work fluently with medical and pharmacy claims to quantify utilization, cost, and savings outcomes.
  • Monitor data pipelines for measurement fidelity and quality and prepare data for analysis.
  • Coordinate evidence and reporting projects across product, marketing, engineering, and business development.
  • Translate technical findings into clear, persuasive insights for executive and external audiences.

Requirements

  • Bachelor's degree required.
  • 5-7+ years of hands-on experience in clinical analytics, HEOR, health economics, digital health, or a related field.
  • Demonstrated hands-on experience analyzing healthcare claims data and applying rigorous statistical methods.
  • High proficiency in Python (preferred) or R, plus fluency in SQL.
  • Startup or growth-stage experience, or equivalent scrappy operating experience in a larger organization.
  • Comfort sourcing your own data and delivering rigorous work without large-org infrastructure or process support.
  • Experience with time-series and nested/longitudinal data.
  • Record of peer-reviewed publications or research projects, ideally in digital health, telemedicine, or value-based care.
  • Proven ability to take a business question from scoping through analysis to a published result with minimal oversight.
  • Hands-on proficiency using AI tools such as LLM-based assistants for analytical and writing work.
  • Familiarity with HIPAA and data-privacy requirements related to PHI and digital health.
  • Master's or PhD in Public Health, Epidemiology, Biostatistics, Statistics, Psychology, Health Economics, or a related domain preferred.
  • Experience with end-to-end data processing pipelines from ingestion through advanced analytics preferred.
  • Applied data science or machine learning experience preferred.
  • Familiarity with Jupyter, Google Colab, Git, Jira, Confluence, and Google Cloud Platform preferred.
  • Experience in value-based contracting or payer-facing evidence generation preferred.
  • Experience collaborating with multidisciplinary teams in a fast-moving tech environment preferred.
  • Applicants must be authorized to work in the U.S. and able to work from a state where Vida is registered.

Benefits

  • Remote work (job posting indicates #LI-remote).
  • Opportunity to work on a mission-driven virtual healthcare platform.
  • Equal Employment Opportunity and Affirmative Action employer.
  • Reasonable accommodations for qualified individuals with disabilities and disabled veterans.
  • Open to a diverse candidate pool and committed to inclusive hiring.
  • Job remains open through the end of the year until filled.

Interested in this position?

Apply directly on the company website

Apply Now

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