Sr Data Scientist Prod Ai&ml

Johnson & Johnson Johnson & Johnson · Pharma · PENJERLA, Telangana, India +8

Senior Scientist role focused on applying Generative AI (GenAI) and Machine Learning (ML) to clinical trial operations. Responsibilities include fine-tuning LLMs for tasks like protocol analysis and eligibility criteria evaluation, developing tools for cost and enrollment optimization, and contributing to patient modeling and enrollment simulations. Requires a Ph.D. in a quantitative discipline, 2+ years of industry experience in ML/AI, and hands-on experience with LLM frameworks and fine-tuning.

What you'd actually do

  1. Conceive, develop, and implement GenAI and ML solutions to support clinical trial operations.
  2. Fine tune and adapt large language models (LLMs) to create solutions including conducting comparative analytics on clinical trial protocols, trial similarity assessment, clinical trial data harmonization and standardization, and eligibility criteria evaluation,
  3. Leverage operational data sources and optimization techniques to create tools for developing scenarios with cost and enrollment optimization and deliver supporting real-world data insights,
  4. Contribute to patient modeling and enrollment simulations to have accurate projections for completion of enrollment.
  5. Clearly articulate highly technical methods and results to diverse audiences and partners to drive decision-making.

Skills

Required

  • Python
  • SQL
  • LLM application framework and tools (e.g., DSPy, LangChain)
  • clinical/medical LLMs
  • finetuning techniques

Nice to have

  • MLOps practices and tools
  • real-world data (EHR, insurance claims, registry data)
  • building patient cohorts
  • enrollment modeling
  • clinical trial analytics
  • working with healthcare professionals

What the JD emphasized

  • Ph.D. degree in a quantitative discipline
  • 2+ years of industry experience delivering on Data Science projects using predictive technologies, forecasting, multi-objective optimization, natural language processing, artificial intelligence, or machine learning
  • Hand-on experience with LLM application framework and tools (e.g., DSPy, LangChain) clinical/medical LLMs and finetuning techniques

Other signals

  • Generative AI
  • LLMs
  • clinical trial operations
  • enrollment forecasting
  • cost optimization
  • country/site selection