Senior Data Scientist Prod AI&ML

Johnson & Johnson

Confirmed live today High trust
Closes in 2 days Hybrid

Quick summary

Work type
Hybrid
Location
PENJERLA, Telangana, IndiaBarcelona, SpainTitusville, NJSpring House, PAMadrid, SpainCambridge, MABangalore, Karnataka, IndiaHyderabad, India
Employment
Full-time
Posted
6 days ago
Freshness
Confirmed live today
Closes
Oct 29, 2026 (soon)

Market check

Salary context

How this pay compares to similar roles

Similar $177k
$108k $232k
below market most similar roles pay here above market

This listing doesn't post a salary. Most similar roles pay $140,975–$212,737.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 46 open roles on FindRole.

Listed pay typically runs $113,000–$201,250 across 38 roles with salary data.

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At a glance

TL;DR · Senior Data Scientist Prod AI&ML

Sr Data Scientist Prod AI&ML joins the Productivity AI/ML team within J&J Innovative Medicine to advance data-driven clinical operations. The role involves conceiving and implementing Generative AI, machine learning, and natural language processing solutions to support clinical trial operations. Key responsibilities include fine-tuning large language models for protocol analytics, trial similarity assessments, and data harmonization. The candidate will build pipelines for enrollment forecasting, cost optimization, and site selection while delivering real-world data insights and patient modeling. Required technical skills include proficiency in Python and SQL, along with experience using LLM application frameworks like LangChain and DSPy. The position addresses complex clinical problems across therapeutic areas like oncology and immunology by leveraging predictive technologies, multi-objective optimization, and MLOps practices to improve global clinical trial efficiency and accuracy.

What you'll do

  • Conceive, develop, and implement GenAI and ML solutions to support clinical trial operations.
  • Fine-tune and adapt large language models for clinical trial protocol analytics and data harmonization.
  • Create tools for cost and enrollment optimization using operational data and optimization techniques.
  • Deliver real-world data insights to support clinical operation scenarios.
  • Contribute to patient modeling and enrollment simulations to provide accurate completion projections.
  • Articulate highly technical methods and results to diverse audiences to drive decision-making.

What we're looking for

  • Ph.D. degree in a quantitative discipline such as computer science, statistics, biostatistics, health economics, biomedical informatics, epidemiology, or applied mathematics.
  • 2+ years of industry experience delivering Data Science projects using predictive technologies, forecasting, multi-objective optimization, NLP, AI, or machine learning.
  • Hands-on experience with LLM application frameworks and tools like DSPy or LangChain, including clinical/medical LLMs and fine-tuning techniques.
  • Proficiency with Python and SQL programming languages.
  • Excellent interpersonal, communication, and presentation skills.
  • Familiarity with MLOps practices and tools (preferred).
  • Demonstrated experience in real-world data, building patient cohorts, enrollment modeling, or clinical trial analytics (preferred).
  • Experience working with healthcare professionals (preferred).

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