below marketmost similar roles pay hereabove market
This role pays less than
71%
of similar roles. Most pay
$149,525–$220,000
— the blue band above.
At the midpoint, this role pays about
$159k
versus about
$185k
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.
JOB TITLE: Principal Scientist, Data Science – AI & Generative AI Systems – R&D DDSAI – Therapeutics Development & Supply (TDS)
The R&D Data Science organization is seeking a Principal Scientist, Data Science to design, build, evaluate, and deploy AI and generative AI systems within the Therapeutics Development & Supply domain. This hands-on individual contributor will develop LLM applications, agentic workflows, and AI-driven automation solutions to accelerate scientific, regulatory, and technical workflows. Key responsibilities include building systems for document authoring, knowledge retrieval, and evidence synthesis while ensuring responsible AI practices and technical rigor. The role requires proficiency in Python and experience with large language models, retrieval-augmented generation, embeddings, and vector databases. Candidates should possess a background in pharmaceutical CMC development and experience with open-source agentic frameworks like LangGraph or DSPy to solve complex problems in regulated GxP environments.
AWS
Data Architecture
Data Modeling
Data Engineering
GraphRAG
Knowledge Graphs
Data Lakes
Lakehouses
Metadata Management
Data Governance
SDTM
ADaM
MedDRA
FHIR
OMOP
DICOM
Distributed Data Processing
FAIR Data Principles
Python
SQL
Spark
Databricks
MLOps
Generative AI
LLMs
CI/CD
GitHub Actions
MLflow
Arize AI
Unity Catalog
Predictive Analytics
Data Pipelines
Feature Engineering
Model Monitoring
Data Governance
Version Control
Anomaly Detection
Generative AI
LLMs
Python
LangGraph
Retrieval-Augmented Generation
Natural Language Processing
Machine Learning
Statistical Modeling
AI Agents
Information Retrieval
Model Adaptation
LLM Evaluation
System Design
Data Science
Python
R
Machine Learning
Generative AI
TensorFlow
PyTorch
scikit-learn
Bayesian Methods
ML Ops
Agile
Stan
PyMC
brms
Data Pipelines
Statistical Modeling
Causal Inference
Cloud-native ML
Data Governance
Simulation Studies
Python
SQL
AWS
Spark
H2O
Deep Learning
Natural Language Processing
Conda
Machine Learning
Statistical Modeling
Clustering
Classification
Time Series
Sentiment Analysis
Big Data
South San Francisco, CA61 days ago
$185,200–$343,900
Python
R
Generative AI
Machine Learning
Data Architecture
System Integration
Experimental Design
GxP
Data Privacy
Data Analysis
Platform Architecture
AI Frameworks