Senior Scientist, AI Applications - R&D Oncology

Johnson & Johnson

Actively hiring
Spring House, PA · Cambridge, MA · San Diego, CA · Raritan, NJ Posted 87 days ago $109,000–$174,800 / year
View original post Log in to save

At a glance

AI generated

TL;DR

Johnson & Johnson Innovative Medicine is seeking a Senior Scientist in AI Applications to join their Data Science and Digital Health team. This role involves developing advanced AI/ML applications for oncology drug discovery and development, focusing on multimodal reasoning systems, agent memory architectures, and uncertainty quantification. The ideal candidate will work with large datasets and sophisticated data science techniques to accelerate research across the drug development pipeline, from target discovery to clinical trials. Proficiency in Python, deep learning frameworks like PyTorch or TensorFlow, and open-source agentic frameworks is essential. Experience in Bayesian inference, causal inference, and graph neural networks is preferred. The position requires a Ph.D. and at least two years of relevant experience, with knowledge of the drug discovery pipeline and biological data types being advantageous. This role will contribute to the broader AI strategy within Johnson & Johnson's R&D community, driving innovation in oncology research.

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 oncology R&D.
  • Build novel agent memory architectures to enhance knowledge retention in AI.
  • Prototype approaches for uncertainty quantification in AI-driven scientific research.
  • Serve as a domain expert by articulating emerging AI/ML methodologies.
  • Define engineering best practices for AI prototyping and deployment.

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 working independently and collaboratively in a multi-disciplinary team.
  • Understanding of drug discovery pipeline and oncology research preferred.
  • Familiarity with cloud hosting solutions such as AWS or Azure.

Market check

Salary context

This $109,000–$174,800 range sits above 14% of similar postings on FindRole.

Peer median band

$153,225–$241,500

Median floor and ceiling across peers.

Typical midpoint (25–75%)

$162,000–$246,150

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.

Most-posted roles

View all roles at Johnson & Johnson

More like this

Similar roles

Principal Data Scientist, R&D Oncology

Johnson & Johnson

Remote (Us026 Pa Spring House - 1400 Mckean Rd, US) 87 days ago $117,000–$201,250
Python R SQL AWS Redshift FSx Glue Lambda NoSQL Graph CDISC HL7 FHIR SNOMED_CT OMOP DICOM MLOps DevOps Code_Versioning CI/CD
Remote

Senior AI Scientist

Intuit

Mountain View, California, US 42 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

Senior AI/ML Scientist – Neuroclinical

Siemens Healthineers

Remote (Pct, US) 44 days ago $185,340–$254,848
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
Remote

Senior Staff AI Research Scientist

Intuit

Mountain View, California, US 43 days ago $226,000–$306,000
Python PyTorch TensorFlow NeurIPS ICML ICLR AAAI KDD ACL Decision-focused AI Probabilistic modeling Causal inference Simulation-based planning Agentic and multi-agent systems Neuro-symbolic AI LLM-based reasoning Deep learning Optimization Statistical machine learning

Senior Staff AI Scientist

Intuit

Atlanta, Georgia, US 42 days ago
Python TensorFlow PyTorch Kubernetes AWS Docker CI/CD Git PostgreSQL MongoDB Scikit-learn Pandas NumPy Jupyter Notebook RESTful APIs Swagger GraphQL