FREE ACCESS
5,000–10,000 jobs/day
See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.
Principal Data Scientist – R&D DSDH – Preclinical Sciences, Translational Safety
Johnson & JohnsonData Scientist leveraging machine learning, working with multidisciplinary teams to drive insights at Johnson & Johnson. Building predictive models and creating AI-ready datasets in a collaborative environment.
Tech Stack
Tools & technologiesCloudPythonSQL
About the role
Key responsibilities & impact- Leverage advanced machine learning and robust data engineering techniques
- Collaborate with multidisciplinary teams including toxicologists, researchers, and safety professionals
- Develop predictive models and deliver analytical solutions
- Build scalable data pipelines and transform raw experimental outputs
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
- Flexibility in working arrangements
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 pipelinesPythonRSQLcloud computingworkflow orchestrationversion control
Soft Skills
collaborationcommunication
Certifications
MSPhD