Translational AI Scientist: Safety & Biomarkers

Actox; Pennsylvania; On-site; USD 109,000 - 175,000; Full time

Benefits offered by this job

Paid time off

Competitive benefits

Regulatory-ready model validation

Job summary

Johnson & Johnson is seeking a Senior Scientist - Data (AI) Scientist, Translational Safety, to advance AI/ML driven translational safety predictions across discovery to RWE. You will build predictive models for safety biomarkers and connect discovery, preclinical, clinical, and real-world data to inform decisions.

Role requires a PhD or equivalent experience with strong Python, ML/DL, transformers, and multimodal data expertise.

Qualifications

• PhD preferred in computational or quantitative field.
• Experience applying AI/ML in life-sciences settings, 2+ years post-PhD or 3–5 years industry.

Responsibilities

• Design, build, validate and deploy AI/ML solutions for translational safety using multimodal data.
• Develop predictive models and AI reasoning frameworks for translational safety and biomarkers.
• Collaborate with translational scientists and data teams to operationalize models.

Skills

Python

ML/DL

Transformers

Foundation models

LLMs/GraphRAG

Multimodal data fusion

Imaging data analysis

Real-world data

Scientific communication

Cross-functional collaboration

Education

PhD preferred in Computational Biology/Bioinformatics/CS/Statistics

Tools

PyTorch

TensorFlow

Job description

Johnson & Johnson is seeking a Senior Scientist - Data (AI) Scientist, Translational Safety, to advance AI/ML driven translational safety predictions across discovery to RWE. You will build predictive models for safety biomarkers and connect discovery, preclinical, clinical, and real-world data to inform decisions.

Role requires a PhD or equivalent experience with strong Python, ML/DL, transformers, and multimodal data expertise.