Director, Data Science, AI Evidence Extraction

Johnson & Johnson

Confirmed live today High trust
Hybrid

Quick summary

Work type
Hybrid
Location
Raritan, NJCambridge, MATitusville, NJSpring House, PA
Salary
$164,000–$282,900 / yr
Employment
Full-time
Posted
7 days ago
Freshness
Confirmed live today
Nearby
99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $232k
This role $223k
$149k $301k
below market most similar roles pay here above market

This role pays less than 58% of similar roles. Most pay $195,000–$269,775 — the blue band above. At the midpoint, this role pays about $223k versus about $232k for comparable roles.

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.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Director, Data Science, AI Evidence Extraction

Role Posting Log in to save

The Director, Data Science - AI Evidence Extraction joins the J&J Research and Development Data, Data Science, and AI team to lead the design, development, and deployment of AI-enabled capabilities for scientific evidence extraction. This role focuses on Neuroscience R&D, where the leader will build agentic workflows for identifying, curating, and synthesizing information from scientific literature into scalable data assets. Key responsibilities include establishing data models, provenance standards, and responsible AI practices while collaborating with clinical, statistical, and regulatory teams. The position requires proficiency in Python and/or R, along with experience in NLP, generative AI, and systematic reviews. The work addresses the technical challenge of creating reliable, traceable evidence stores to accelerate clinical development decisions and improve the accuracy of meta-analyses across therapeutic areas.

Skills

Python R Generative AI NLP AI Agents Data Modeling Data Science Data Quality Quantitative Synthesis Meta-analysis Data Visualization

What you'll do

  • Set the strategy, roadmap, and value measures for scientific evidence data capabilities in Neuroscience.
  • Build and deploy scalable AI-enabled workflows for evidence identification, extraction, curation, and analysis.
  • Own delivery, investment decisions, and outcomes for AI-based scientific evidence extraction.
  • Establish fit-for-purpose data models, provenance, quality controls, and reusable evidence assets.
  • Define validation, evaluation, human-review, and responsible AI practices for all evidence workflows.
  • Develop scientifically rigorous analysis workflows and quantify limitations such as uncertainty.
  • Shape shared platform capabilities to ensure alignment with architecture, governance, and data-use requirements.
  • Communicate priorities, tradeoffs, risks, and progress to senior stakeholders.

What we're looking for

  • PhD in a relevant quantitative, clinical, or life-science field; or MS with additional relevant experience.
  • 8+ years of experience in pharmaceutical, biotech, or healthcare analytics, with experience setting technical direction.
  • Hands-on experience with systematic reviews, meta-analysis, or quantitative evidence synthesis.
  • Experience with data modeling, scientific data curation, provenance, and quality control.
  • Recent experience building and deploying scalable AI, NLP, or generative AI solutions.
  • Strong proficiency in Python and/or R, and sound software engineering practices.
  • Understanding of evaluation, validation, uncertainty, and human-in-the-loop review.
  • Exposure to regulated environments, multimodal document extraction, AI governance, and responsible AI is preferred.

Related searches

More Data Science Director jobs Data Science Director jobs in Raritan All jobs at Johnson & Johnson

More like this

Similar roles

Director, Data Science, GenAI, Neuroscience

Johnson & Johnson

Raritan, NJ +4 7 days ago $164,000–$282,900
Generative AI Agentic AI LLMs Python NLP Retrieval Grounding Data Science Medical Imaging Multi-omics Genetics Genomics Ontologies AI Governance Human-in-the-loop Data Analytics
8+ yrs exp Hybrid
Save

Principal Scientist, Data Science, AI & Generative AI Systems

Johnson & Johnson

Spring House, PA +1 11 days ago $117,000–$201,250
Generative AI LLM Python RAG Agentic Workflows LangGraph DSPy mem0 Vector Databases NLP Embeddings Responsible AI Data Science GxP Data Visualization Advanced Analytics
3+ yrs exp Hybrid
Save

Senior Scientist Biostatistics

Johnson & Johnson

Beerse, Antwerp, Belgium +6 6 days ago
Python R SQL Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Agentic Workflows Machine Learning Biostatistics FastAPI vLLM Git Shiny Quarto Model Context Protocol (MCP) Knowledge Graphs Data Pipelines SAS Posit Workbench Posit Connect
Hybrid
Save

Director, Data Science

Carmax

Richmond, VA 125 days ago $161,500–$258,400
Python Machine Learning Artificial Intelligence Statistics Mathematics Data Science Algorithms Analytics Optimization
7+ yrs exp Hybrid
Save

Director, Data Science

Capital One Financial

McLean, VA +4 29 days ago $269,100–$307,200
Python AWS Spark H2O Scala R Conda Machine Learning Deep Learning Time Series Clustering Classification Sentiment Analysis Big Data Relational Database
9+ yrs exp
Save

Director, Data Science

Capital One Financial

McLean, VA +4 27 days ago $269,100–$307,200
Python AWS Spark H2O Scala R Conda Machine Learning Deep Learning Time Series Clustering Classification Sentiment Analysis Big Data Relational Database
9+ yrs exp
Save