Principal Data Scientist – R&D, Preclinical Sciences, Translational Safety
Johnson & Johnson
full-time
Posted on:
Location Type: Hybrid
Location: Madrid • Spain
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Job Level
About the role
- Leverage advanced machine learning and data engineering techniques to drive impactful decisions.
- Work closely with multidisciplinary teams including toxicologists and safety professionals.
- Develop predictive models and deliver analytical solutions to promote improved safety evaluations.
Requirements
- Advanced degree (MS or PhD) in Data Science, Computational Biology, Toxicology, Pharmacology, Biomedical Engineering, Computer Science , or related field.
- 3+ years of experience applying machine learning and/or data engineering to scientific or biomedical datasets.
- Proficiency with Python and/or R , SQL, and modern data engineering tooling (cloud computing, workflow orchestration, version control).
- Experience with ML model development, evaluation, and deployment pipelines.
- Experience working with biological, toxicology, PK/PD, or in vivo datasets.
Benefits
- Inclusive work environment
- Professional development opportunities
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata engineeringpredictive modelingmodel evaluationmodel deploymentPythonRSQLcloud computingworkflow orchestration
Certifications
MSPhD