Johnson & Johnson is committed to building innovative healthcare solutions that prevent, treat, and cure complex diseases while delivering smarter and less invasive treatments
Job Summary
Johnson & Johnson is committed to building innovative healthcare solutions that prevent, treat, and cure complex diseases while delivering smarter and less invasive treatments.
The role involves leading options modeling initiatives, designing simulation-based digital twins, and collaborating with business and technical teams to translate requirements into scalable data science solutions.
Employees are eligible for comprehensive benefits including retirement plans, various types of leave, and paid holidays to support work-life balance.
Matching Summary
Johnson & Johnson is committed to building innovative healthcare solutions that prevent, treat, and cure complex diseases while delivering smarter and less invasive treatments.
Salary
Base: $109,000.00 - $174,800.00; Bonus/Equity: Not specified; Benefits: Retirement plans, paid leave, and holidays
Skills & Requirements
Must-have
Advanced analytics and machine learning
Simulation-based digital twins
Python libraries for data science
Operations research modeling
Supply chain capacity planning
Cloud-based model deployment
Data visualization with Tableau
Nice-to-have
Collaborating with multidisciplinary teams
Business partner engagement
Continuous model improvement
Knowledge of ERP systems like SAP
Familiarity with Azure or AWS cloud
Coaching and critical thinking
Process improvements
Key Requirements
Master’s or PhD in quantitative or engineering discipline
5+ years relevant experience or PhD with applied modeling
Expertise in Simio and discrete-event simulation
Proven production deployment of Python models
Experience with supply chain modeling in healthcare
Familiarity with cloud platforms and big data frameworks
Competence in translating business needs into data science solutions