Senior Translational AI Scientist – Safety & Biomarkers

Johnson & Johnson; Cambridge (MA); On-site; USD 109,000 - 175,000; Full time

Benefits offered by this job

Vacation –120 hours per year

Sick time –40 hours per year (state/WA

Holiday pay –13 days

Parental Leave – 480 hours

Bereavement Leave – 240 hours

Job summary

Johnson & Johnson is seeking a Senior Scientist – Data (AI) Scientist, Translational Safety within the DDSAI – OCMO organization, accelerating drug safety prediction with AI/ML across discovery and development, leveraging multimodal data and foundation models.

You will collaborate with translational scientists and data teams to translate domain questions into robust AI solutions, with emphasis on regulatory-ready validation, reproducible code, and cross-functional impact.

Qualifications

• Ph.D. preferred in Computational Biology, Bioinformatics, Biomedical Informatics, CS, Statistics or related quantitative discipline.
• Demonstrated experience applying AI/ML in life-sciences settings; 2+ years post‑PhD or ~3–5 years in industry.
• Strong programming skills (Python) and experience with AI frameworks (PyTorch or TensorFlow).

Responsibilities

• Design, build, validate and deploy AI/ML solutions for translational safety using multimodal data across discovery, preclinical, clinical and RWE domains.
• Develop predictive models and AI reasoning frameworks for translational safety and biomarker identification.
• Integrate heterogeneous datasets (imaging, omics, EHR, claims) to derive biological insights and de-risk safety signals.
• Establish scientific validation, assess plausibility, benchmark performance, and produce explainability packages for regulatory review.
• Prototype foundation-model connectors to link discovery → preclinical → clinical → RWE and support closed-loop learning across R&D.

Skills

Python

AI frameworks

Transformers

Multimodal learning

Communication

Education

Ph.D. in Computational Biology or related field

Tools

PyTorch

TensorFlow

Job description

Johnson & Johnson is seeking a Senior Scientist – Data (AI) Scientist, Translational Safety within the DDSAI – OCMO organization, accelerating drug safety prediction with AI/ML across discovery and development, leveraging multimodal data and foundation models.

You will collaborate with translational scientists and data teams to translate domain questions into robust AI solutions, with emphasis on regulatory-ready validation, reproducible code, and cross-functional impact.