Senior Data Scientist – GenAI for Clinical Operations

Johnson & Johnson Co.

Madrid

On-site

EUR 24,000 - 39,000

Full time

42 hours ago
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Job summary

Johnson & Johnson Innovative Medicine is hiring a Senior Scientist - Data Science to advance GenAI/ML in clinical operations. The role centers on adapting LLMs, building predictive pipelines, and enabling enrollment forecasting and cost optimization across global trials.

The ideal candidate holds a PhD in a quantitative field and has 2+ years of data science experience, with Python/SQL and LangChain/DSPy skills for practical, scalable solutions.

Qualifications

  • PhD in a quantitative discipline; e.g., computer science, statistics, epidemiology.
  • 2+ years industry experience delivering Data Science projects with predictive tech.
  • Hands-on experience with LLM frameworks (DSPy, LangChain) and finetuning.
  • Proficiency in Python and SQL.
  • Excellent interpersonal, communication, and presentation skills.
  • Passionate about leveraging data to drive scientific innovation.

Responsibilities

  • Conceive, develop, and implement GenAI and ML solutions to support clinical trial operations.
  • Fine tune and adapt large language models (LLMs) for analytics on protocols and enrollment.
  • Create tools for cost and enrollment optimization and data insights.
  • Contribute to patient modeling and enrollment simulations for projections.
  • Communicate highly technical methods clearly to diverse audiences.

Skills

Python
SQL
LLM frameworks
Communication
Data science

Education

PhD in quantitative field

Tools

DSPy
LangChain
Finetuning techniques

Job description

Johnson & Johnson Innovative Medicine is hiring a Senior Scientist - Data Science to advance GenAI/ML in clinical operations. The role centers on adapting LLMs, building predictive pipelines, and enabling enrollment forecasting and cost optimization across global trials.

The ideal candidate holds a PhD in a quantitative field and has 2+ years of data science experience, with Python/SQL and LangChain/DSPy skills for practical, scalable solutions.

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