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2 дня назад

Senior Data Scientist (NLP/AI)

124 000 - 170 500$
Формат работы
remote (только USA)/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

Senior Data Scientist (NLP/AI): Designing and implementing advanced natural language understanding systems for clinical text analysis with an accent on transformer-based architectures and generative AI. Focus on building scalable, reliable, and auditable deep learning models to support data-driven medical decision-making within regulated healthcare environments.

Location: Remote (US). Must be a US citizen or permanent resident. Requires travel to a designated company location for on-site onboarding.

Salary: $124,000 - $170,500

Company

hirify.global is a healthcare company dedicated to solving complex challenges through innovation at the intersection of health, material, and data science.

What you will do

  • Scope and design NLP/NLU applications for clinical document understanding.
  • Translate clinical requirements into measurable mathematical and experimental criteria.
  • Process and enrich large-scale structured and unstructured medical datasets.
  • Develop and evaluate deep learning models, including transformers and neural architectures.
  • Mitigate model risks such as bias, drift, and hallucination.
  • Deploy models into cloud environments, ensuring reliability and compliance.

Requirements

  • US citizenship or permanent resident status required.
  • Master's degree or PhD in computer science, mathematics, or related fields (or Bachelor's with 5+ years of IT experience).
  • Solid experience in Python, specifically deep learning for text analysis (PyTorch, Transformers).
  • Strong grasp of statistics and exploratory data analysis.
  • Ability to work in a regulated healthcare environment.
  • Must be legally authorized to work in the US without sponsorship.

Nice to have

  • Experience with research-driven NLP/NLU and representation learning.
  • Familiarity with AWS, GitHub, and CI/CD practices.
  • Hands-on experience with LLMs, prompting, and agentic AI frameworks.
  • Experience with ETL tools like PySpark or Spark NLP.
  • Exposure to clinical coding systems (ICD, CPT, SNOMED).

Culture & Benefits

  • Competitive compensation and benefits package including medical, dental, and vision.
  • Retirement benefits and disability coverage.
  • Commitment to integrity, empathy, and clinical intelligence.
  • Collaborative environment working with diverse global teams.
  • Structured onboarding process with company-paid travel for initial orientation.

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