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18 часов назад

Principal Data Scientist (Healthcare AI)

Формат работы
hybrid
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

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TL;DR
Principal Data Scientist (Healthcare AI): Building scalable internal AI tooling and automated data quality infrastructure for real-world healthcare data with an accent on cohort analytics, LLM workflows, validation, and trustworthy data systems. Focus on designing agentic and deterministic quality checks, evaluating AI-enabled workflows, integrating pipelines with Engineering, and providing technical leadership to data scientists.

Location: Hybrid role in Research Triangle Park, North Carolina, with 3 days per week in the office

Company

hirify.global develops healthcare analytics capabilities using real-world data such as EHR, claims, and registry data.

What you will do

  • Build, maintain, and scale AI-powered tooling for cohort generation, feasibility analysis, code review, and recurring analytics.
  • Design automated and agentic data quality systems that work across schemas, sites, and data refreshes.
  • Define testing, validation, monitoring, provenance, and human-review standards for trustworthy AI-enabled workflows.
  • Partner with Engineering on pipeline integration, orchestration, monitoring, and data quality infrastructure.
  • Work with Product, Medical, Clinical Operations, and Commercial teams to gather requirements and drive adoption.
  • Provide technical oversight, code review, mentorship, documentation, and training for data scientists.

Requirements

  • MS or PhD in data science, statistics, computer science, computational biology, or a related quantitative field, or equivalent practical experience.
  • Experience working directly with real-world healthcare data, including EHR, claims, or registry data.
  • Track record of building and owning internal tools, platforms, or analytic products through multiple versions.
  • Strong Python and SQL programming skills, with experience in a cloud data warehouse such as Snowflake.
  • End-to-end ownership of a data quality, testing, or observability system.
  • Practical experience building and evaluating LLM-based systems beyond prototyping, including prompt and workflow design.

Nice to have

  • Interest in growing into technical leadership through mentoring and review of other data scientists.
  • Experience working with raw, messy, and poorly documented source data.

Culture & Benefits

  • Hybrid work with three days per week in a new office.
  • Health, dental, and vision coverage for employees and families.
  • 401(k) with company match.
  • Generous paid time off, company holidays, and paid parental leave.

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