Senior Translational AI Scientist – Safety & Biomarkers

Johnson & Johnson; Spring House (PA); On-site; USD 109,000 - 175,000; Full time

Benefits offered by this job

Vacation 120 hours per year

Parental Leave

Sick time + holidays

Volunteer Leave

401(k) plan

Job summary

Johnson & Johnson is seeking a Senior Scientist – Data (AI) Scientist in Translational Safety to accelerate drug safety prediction using advanced AI/ML analytics across discovery and development. You will connect discovery, preclinical, clinical, and real‑world data to enable better decision making and risk minimization.

You will collaborate with translational scientists and data engineers to build scalable AI assets, demonstrate regulatory‑grade validation, and advance foundation model

Qualifications

• PhD preferred in a quantitative discipline or equivalent.
• 2+ years post‑PhD or 3–5 years industry experience in life‑sciences AI/ML.
• Experience translating domain questions into robust AI solutions.

Responsibilities

• Design, build, validate and deploy AI/ML solutions for translational safety prediction.
• Develop predictive models and AI‑reasoning frameworks for translational safety and biomarkers.
• Integrate high‑dimensional datasets to derive biological insights and inform decisions.

Skills

Python

PyTorch

TensorFlow

Transformers

Multimodal learning

Foundation models

LLMs

Graph analytics

Real‑world data

Education

PhD preferred (Computational Biology/Bioinformatics/CS)

Tools

Jupyter

Job description

Johnson & Johnson is seeking a Senior Scientist – Data (AI) Scientist in Translational Safety to accelerate drug safety prediction using advanced AI/ML analytics across discovery and development. You will connect discovery, preclinical, clinical, and real‑world data to enable better decision making and risk minimization.

You will collaborate with translational scientists and data engineers to build scalable AI assets, demonstrate regulatory‑grade validation, and advance foundation model