Senior Data Scientist, Translational Safety & PK/PD AI

Johnson & Johnson Co.; Madrid; On-site; EUR 90,000 - 130,000; Full time

Benefits offered by this job

Vacation 120 hours/year

Sick time

Floating Holidays

Job summary

Johnson & Johnson in Madrid is seeking a Senior Data Scientist to leverage ML and data engineering to advance PSTS safety and translational research. You will collaborate with toxicologists, PK/PD specialists, and in vivo researchers to build AI-ready datasets and predictive models that support safer therapies.

The role requires hands-on ML, data wrangling, cloud tooling, and strong communication to translate complex biology into scalable data solutions that accelerate breakthroughs and

Qualifications

• Advanced degree (MS or PhD) in Data Science, Computational Biology, Toxicology, Pharmacology, Biomedical Engineering or related field.
• 2+ years of experience applying ML and/or data engineering to scientific or biomedical datasets.
• Proficiency with Python and/or R, SQL, and cloud-based tooling.

Responsibilities

• Develop and deploy ML/AI models to support safety signal detection, dose selection, PK/PD modeling, toxicology insights, and translational interpretation.
• Build and maintain scalable data pipelines that integrate PSTS-relevant data sources (toxicology, PK/PD, biomarkers).
• Collaborate with toxicology, DMPK, and safety stakeholders to translate study designs into computational requirements.

Skills

Machine Learning

Data Engineering

Python

R

SQL

Toxicology

Education

MS or PhD in Data Science

Computational Biology

Toxicology

Tools

AWS

Snowflake

Redshift

Cloud Services

Job description

Johnson & Johnson in Madrid is seeking a Senior Data Scientist to leverage ML and data engineering to advance PSTS safety and translational research. You will collaborate with toxicologists, PK/PD specialists, and in vivo researchers to build AI-ready datasets and predictive models that support safer therapies.

The role requires hands-on ML, data wrangling, cloud tooling, and strong communication to translate complex biology into scalable data solutions that accelerate breakthroughs and