10 часов назад
Director, Health Economics & Outcomes Research (HEOR)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Director, Health Economics & Outcomes Research (HEOR) (Digital Health): Generating real-world evidence from biometric, claims, and clinical data to support commercial growth, payer strategy, value-based contracting, and clinical credibility with an accent on rigorous health-outcomes analysis and peer-reviewed publication. Focus on designing end-to-end studies, applying advanced statistical methods, using AI tools to accelerate analysis and writing, and translating technical findings into persuasive business insight.
Location: Remote within the United States only; international work is prohibited. Applicants must be authorized to work in the U.S. Vida cannot sponsor work visas.
Company
is a digital health company focused on demonstrating the clinical and economic value of its platform through evidence and health analytics.
What you will do
- Design, plan, and execute health-outcomes analyses using biometric, medical and pharmacy claims, and clinical data.
- Conduct literature reviews, perform analyses, and prepare peer-reviewed manuscripts and clinical white papers from concept through submission.
- Apply methods including mixed-effects modeling, survival analysis, difference-in-differences, budget impact analysis, and clustering to complex longitudinal data.
- Use modern AI tools, including LLM-based assistants, to accelerate literature review, analysis, coding, and manuscript development.
- Generate economic and clinical evidence supporting enterprise sales, client retention, payer strategy, and value-based care contracting.
- Coordinate evidence projects across product, marketing, engineering, and business development while monitoring data quality and measurement fidelity.
Requirements
- Bachelor's degree and 5–7+ years of hands-on experience in clinical analytics, HEOR, health economics, digital health, or a related field.
- Hands-on experience analyzing healthcare claims data and applying rigorous statistical methods.
- High proficiency in Python or R and fluency in SQL.
- Experience with time-series and nested or longitudinal data, data sourcing, and end-to-end analytical delivery.
- Peer-reviewed publications or research projects, preferably in digital health, telemedicine, or value-based care.
- Familiarity with HIPAA and data-privacy requirements related to PHI and digital health.
Nice to have
- Master's or PhD in public health, epidemiology, biostatistics, statistics, psychology, health economics, or a related field.
- Applied data science or machine learning experience.
- Experience with value-based contracting or payer-facing evidence generation.
- Familiarity with Jupyter, Google Colab, Git, Jira, Confluence, and Google Cloud Platform.
- Startup or growth-stage experience in a fast-moving technology environment.
Culture & Benefits
- Full-time exempt employment in a self-directed senior individual-contributor role.
- Work remotely within the United States, subject to Vida's registered-state coverage.
- Collaborate with growth, strategy, clinical, product, marketing, engineering, and business development functions.
- Work in an environment that values diversity, inclusion, and reasonable accommodations.
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