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Principal Data Scientist – R&D DSDH, Preclinical Sciences, Translational Safety
Johnson & JohnsonData Scientist leveraging advanced machine learning and data engineering at Johnson & Johnson. Collaborating with teams to create AI-ready datasets and develop predictive models.
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Leverage advanced machine learning and data engineering techniques to drive impactful decisions
- Create AI-ready datasets, develop predictive models, and deliver analytical solutions
- Collaborate with multidisciplinary teams to promote improved safety evaluations and facilitate translational research
Requirements
What you’ll need- 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
Comp & perks- Inclusive work environment
- Opportunities for professional development
- Equal Opportunity Employer
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningdata engineeringpredictive modelingdata analysisPythonRSQLcloud computingworkflow orchestrationversion control
Soft Skills
collaborationcommunicationteamworkproblem-solvinganalytical thinking
Certifications
MSPhD