3 дня назад
Manager, Healthcare Analytics
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Healthcare Analytics (Healthcare Data/AI): Owning end-to-end healthcare analyses across claims, social determinants of health, pharmacy and treatment data, and user-generated content with an accent on cohort design, SQL, quality assurance, and client-ready recommendations. Focus on building reusable analytical methods, designing patient and HCP audiences, measuring campaign impact, and applying AI tooling to complex healthcare data challenges.
Location: Remote (United States)
Company
is a healthcare engagement and analytics company using AI, data, and privacy-compliant technology to connect life sciences brands, patients, healthcare providers, and pharmacies.
What you will do
- Own healthcare analyses end to end, from scoping ambiguous questions and defining patient or provider cohorts to writing SQL, performing QA, and delivering actionable answers.
- Partner with sales, client strategy, and ad operations as the data subject matter expert.
- Build reusable codesets, cohort and metric definitions, notebook templates, and documentation for reproducible analytics.
- Design patient and healthcare provider audience segments using real-world data and provide definitions, counts, and caveats.
- Deliver market landscape, competitive dynamics, payer access, patient journey, audience, and campaign performance analyses to internal and client stakeholders.
- Apply AI and generative AI tools to accelerate analysis and reporting, while identifying new methodologies, data sources, and analytical opportunities.
Requirements
- 5+ years of data analytics experience and a record of independently owning projects from question to delivered answer.
- Strong knowledge of medical and pharmacy claims, diagnosis and procedure coding, NDC and treatment data, and the healthcare industry.
- Advanced SQL proficiency with large datasets and cloud data platforms such as Databricks, Snowflake, or BigQuery.
- Ability to turn loosely specified requests into defensible analyses and explain what the data can and cannot support.
- Experience with data visualization, analytical storytelling, communication with nontechnical and senior audiences, and mentoring or reviewing analytical work.
- Familiarity with Python, notebooks, Git, healthcare or pharmaceutical marketing, and reproducible analysis practices.
Culture & Benefits
- Patient-first work focused on improving diagnosis, treatment decisions, adherence, and healthcare engagement.
- Innovation-oriented environment with opportunities for continuous learning and professional growth.
- Work within a fast-growing company developing AI-driven, data-powered, privacy-compliant healthcare solutions.
- Recognition as a Best Place to Work in 2025 and 2026 by the Business Intelligence Group.
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