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3 дня назад

Manager, Healthcare Analytics

Формат работы
remote (только USA)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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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

hirify.global 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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