Johnson & Johnson Innovative Medicine's Immunology R&D Data Science and Digital Health team is seeking a Senior Scientist in AI Applications to develop advanced artificial intelligence and machine learning solutions for drug discovery and development. This role involves working closely with the Machine Intelligence team to create sophisticated data science techniques that integrate large-scale structured and unstructured datasets, including scientific literature and omics data, to accelerate research across the entire R&D lifecycle. Key responsibilities include developing multimodal reasoning systems, building novel agent memory architectures, and evaluating uncertainty quantification approaches. The ideal candidate will have a Ph.D. in AI/ML or related field with experience in Bayesian inference, deep learning frameworks like PyTorch, and proficiency in Python. Knowledge of the drug discovery pipeline and familiarity with biological data types are preferred, as is an understanding of cloud hosting solutions such as AWS or Azure.
Skills
Python
PyTorch
Tensorflow
Bayesian inference
Uncertainty quantification
Information theory
Graph neural networks
LangGraph
DSPy
mem0
AWS
Azure
CI/CD
What you'll do
Develop and optimize multimodal reasoning systems for immunology R&D.
Build novel agent memory architectures to enhance knowledge retention in discovery workflows.
Prototype and evaluate approaches for uncertainty quantification in AI-driven scientific reasoning.
Serve as a domain expert by articulating emerging AI/ML methodologies and their practical applications.
Define and enforce engineering best practices for AI prototyping, including documentation standards and reproducibility criteria.
Benchmark agent performance against human expert decisions and publish results in leading journals.
What we're looking for
Ph.D. in AI/ML or related field with at least two years of experience.
Expertise in Bayesian inference, uncertainty quantification, and graph neural networks.
Proficiency with open-source agentic frameworks and deep learning libraries like PyTorch.
Strong programming skills, preferably in Python.
Experience developing multimodal reasoning systems for scientific applications.
Ability to publish results in leading journals and conferences.
Understanding of the drug discovery pipeline and biological data types.
Market check
Salary context
This
$109,000–$174,800
range sits above
15%
of similar postings on FindRole.
Peer median band
$145,500–$234,700
Median floor and ceiling across peers.
Typical midpoint (25–75%)
$162,000–$238,162
Middle half of comparable postings.
Based on 240 comparable postings.*
* 240 is the maximum number of comparable postings sampled.
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
$122,000–$211,025
across 45 roles with salary data.
Mountain View, California, US43 days ago
$173,500–$234,500
Python
scikit-learn
R
SQL
Hive
SparkSQL
Linux
data mining
clustering
classification
regression
decision trees
neural nets
support vector machines
anomaly detection
recommender systems
sequential pattern discovery
text mining
A/B testing
statistical analysis
Python
PyTorch
TensorFlow
Deep Learning
AI/ML
Data Strategy
Model Validation
Clinical Integration
Cross-functional Collaboration
Complex Datasets
Medical Imaging
Publications
Patents
Research Collaborations
Problem Definition
Statistical Evaluation
Technical Mentorship
State-of-the-Art AI Techniques