Назад
Company hidden
обновлено 2 дня 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
Для мэтча и отклика нужен Plus

Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
/
TL;DR
Clinical Data Scientist (AI) (Python/SQL/Healthcare Data): Leading end-to-end medical research projects and transforming EMR data into clinical insights with an accent on LLM-based feature engineering, statistical analysis, and clinical protocol feasibility. Focus on building patient cohorts, developing cross-client data pipelines, and presenting research results to life science clients.

Location: Remote within the United States

Company

Latica is a healthcare data network and clinical AI platform that provides compliant access to de-identified real-world data for diagnostics, therapeutics, pharmaceutical studies, and medical devices.

What you will do

  • Lead end-to-end medical research projects for life science clients.
  • Explore electronic medical record data and extract relevant clinical features.
  • Apply LLM-based feature engineering to convert unstructured data into clinical insights.
  • Support clinical protocol design through data analysis and feasibility assessment.
  • Perform statistical analyses and present findings through dashboards, publications, and presentations.
  • Develop cross-client data pipelines and build patient cohorts to enrich the healthcare data catalog.

Requirements

  • 5+ years of experience as a Data Scientist or in a similar analytical role, including 3+ years in healthcare.
  • Experience in client-facing work with pharmaceutical or life sciences companies.
  • Advanced proficiency in Python and SQL.
  • Strong knowledge of EMRs and healthcare coding systems such as CPT and ICD-10.
  • Excellent analytical, research, and business judgment with a self-motivated, collaborative working style.

Nice to have

  • Experience with AWS or GCP cloud infrastructure.
  • Experience with R, large language models, or data pipelines.

Culture & Benefits

  • Work remotely within the United States.
  • Collaborate with experienced professionals in healthcare, data science, AI, and cybersecurity.
  • Grow responsibilities as the company scales.

Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →