Senior Translational AI Scientist for Safety & Biomarkers

6084-Janssen Research & Development, LLC Legal Entity; Spring House (PA); On-site; USD 109,000 - 175,000; Full time

Job summary

Johnson & Johnson is seeking a Senior Translational AI Scientist to join the Data, Data Science & Artificial Intelligence (DDSAI) – OCMO organization, accelerating safety prediction across drug discovery and development with advanced AI/ML analytics and multimodal data.

The role develops predictive models identifying translational biomarkers and high translational-risk compounds, enabling optimal risk minimization while collaborating with scientists from preclinical to real-world evidence

Qualifications

• Ph.D. or equivalent experience; preferred in quantitative life sciences or CS.
• AI/ML experience in life-sciences settings (industry or post-doc). 2+ years post-PhD or 3–5 years industry.
• Domain expertise in translational science, biomarker discovery, safety assessment or related drug-discovery applications.
• Publications in top-tier venues preferred.
• Strong programming in Python with ML frameworks; deep knowledge of transformers, CNNs, graph networks, and causal inference.

Responsibilities

• Design, build, validate and deploy AI/ML solutions for translational safety across discovery, preclinical, clinical and RWE domains.
• Develop predictive models and AI‑reasoning frameworks for translational safety and biomarker identification.
• Integrate high‑dimensional datasets (imaging, omics, EHR, claims) to derive insights and inform portfolio decisions.
• Establish scientific validation with explainability and regulatory-friendly evidence packages.
• Prototype foundation-model connectors to link discovery to RWD and support closed-loop learning.
• Collaborate with translational scientists and data teams to operationalize models.
• Communicate complex methods clearly and maintain reproducible code and docs.

Skills

Advanced Analytics

Business Intelligence

Coaching

Collaboration

Critical Thinking

Data Analysis

Database Management

Data Privacy Standards

Data Reporting

Data Savvy

Data Science

Data Visualization

Econometric Models

Process Improvements

Technical Credibility

Technologically Savvy

Workflow Analysis

Education

Ph.D. preferred in Computational Biology, Bioinformatics, Biomedical Informatics, Computer Science, Statistics, Applied Mathematics or related quantitative discipline; or equivalent experience

Tools

Python

PyTorch

TensorFlow

Multimodal Data Fusion

Foundation Models

Job description

Johnson & Johnson is seeking a Senior Translational AI Scientist to join the Data, Data Science & Artificial Intelligence (DDSAI) – OCMO organization, accelerating safety prediction across drug discovery and development with advanced AI/ML analytics and multimodal data.

The role develops predictive models identifying translational biomarkers and high translational-risk compounds, enabling optimal risk minimization while collaborating with scientists from preclinical to real-world evidence