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14 часов назад

Clinical Data Scientist (AI)

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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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR

Clinical Data Scientist (AI): Leading end-to-end medical research projects and transforming unstructured EMR data into clinical insights with an accent on LLM-based feature engineering and statistical analysis. Focus on building diverse patient cohorts and supporting clinical protocol design for life science and pharmaceutical partners.

Location: Must be based in the United States

Company

hirify.global is a community data network and clinical AI platform focused on unlocking healthcare data to accelerate diagnostic and therapeutic innovation.

What you will do

  • Lead end-to-end medical research projects for top-tier life science companies.
  • Conduct EMR data exploration and extract relevant clinical features.
  • Apply LLM-based feature engineering to transform unstructured data into clinical insights.
  • Support clinical protocol design from a data and feasibility perspective.
  • Perform statistical analyses and present results through dashboards and publications.
  • Develop cross-client pipelines to support data infrastructure and product growth.

Requirements

  • 5+ years of experience as a Data Scientist with 3+ years in the healthcare industry.
  • Experience in client-facing roles working with pharmaceutical or life sciences companies.
  • Advanced proficiency in Python and SQL.
  • Deep familiarity with Electronic Medical Records (EMRs) and healthcare coding systems (CPT, ICD-10).
  • Strong analytical, research, and business acumen.
  • Must be authorized to work in the United States.

Nice to have

  • Experience with R and Large Language Models.
  • Experience with cloud infrastructure platforms (AWS/GCP).
  • Experience building data pipelines.

Culture & Benefits

  • Opportunity to work at the intersection of AI and healthcare innovation.
  • Collaborative environment with leaders in data science and cybersecurity.
  • Focus on professional growth as the company scales.

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