Director, Health Economics – Outcomes Research

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🕒 Julho 22

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $165.000 - $180.000 / ano

⏰ Tempo Integral

🔴 Especialista

👔 Diretor

🦅 Patrocina Visto H1B

info

🗣️🇺🇸🇬🇧 Inglês obrigatório

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Logo of Vida Health

Vida Health

501 - 1000 funcionários

Fundada em 2014

🏥 Saúde

🍽️ Alimentos e Bebidas

💼 Consultoria

Healthcare • Food & Beverage • Consulting

A Vida Health é uma empresa comprometida em melhorar os resultados de saúde para várias condições físicas e mentais, incluindo diabetes, obesidade, depressão e hipertensão. Oferecem um cuidado personalizado, liderado por profissionais humanos, combinado com tecnologia digital para gerenciar e tratar essas condições complexas. A Vida Health faz parcerias com empregadores, planos de saúde e consultores para fornecer soluções abrangentes de saúde. Seus serviços incluem bate-papos por vídeo e mensagens de texto com provedores de saúde, e utilizam aprendizado de máquina e dispositivos sincronizados para personalizar o atendimento aos membros. Eles focam em economias de custo significativas e na melhoria dos resultados de saúde para condições cardiometabólicas, garantindo resultados e oferecendo até 100% das taxas de risco tanto para cuidados físicos quanto mentais.

Descrição

• Take the questions that growth, strategy, and clinical teams need answered and design, plan, and execute the health-outcomes analyses that answer them, using biometric, claims, and clinical data for both internal and external audiences. • Apply modern AI tools (e.g., LLM-based assistants) in your day-to-day workflow to accelerate literature review, analysis, code, and manuscript drafting, with demonstrated proficiency, not just familiarity. • Conduct literature reviews, run the analyses, and prepare manuscripts for peer-reviewed journals and clinical white papers, carrying work from concept to submission. • Apply methods such as multilevel/mixed-effects modeling, survival analysis, case-control difference in difference, budget impact analysis, and clustering (e.g., K-means, DBSCAN) to complex, time-series, and nested data structures. • Partner with growth, strategy, and clinical teams to generate the economic and clinical evidence that supports enterprise sales, client retention, and value-based care contracting. • Work fluently with medical and pharmacy claims to quantify utilization, cost, and savings outcomes. • Monitor pipelines for measurement fidelity and quality, and curate and prepare biometric, claims, and clinical data for analysis. • Coordinate evidence and reporting projects across product, marketing, engineering, and business development, providing the project-management structure that keeps multi-stakeholder work on track. • Additional responsibilities as needed.

🎯 Requisitos

• Bachelor's degree required. • 5-7+ years of hands-on experience in clinical analytics, HEOR, health economics, digital health, or a related domain. • Demonstrated, hands-on experience analyzing healthcare claims data and applying rigorous statistical methods required. • High proficiency in at least one statistical package: Python (preferred) or R; fluency in SQL. • Startup/growth-stage experience; equivalent scrappy operating experience within a larger org also works. • Comfortable sourcing your own data and delivering rigorous work without the infrastructure, resources, or processes of a large organization • Experience with time-series and nested/longitudinal data. • A record of peer-reviewed publications or research projects, ideally in digital health, telemedicine, or value-based care. • Proven ability to take a business question and independently carry it to a published result: scoping, analyzing, and delivering with minimal oversight. • Demonstrated, hands-on proficiency using AI tools (e.g., LLM-based assistants) to do analytical and writing work more efficiently and to a higher standard. • Ability to translate technical findings into clear, persuasive insight for non-technical executives, commercial, and external audiences. • Familiarity with HIPAA and data-privacy requirements as they relate to PHI and digital health.

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