At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions are personal. Through our expertise in Innovative Medicine and MedTech, we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow, and profoundly impact health for humanity. Learn more at https://www.jnj.com
Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
People LeaderAll Job Posting Locations:
Beijing, ChinaJob Description:
The ideal candidate will leverage their expertise in data science to perform simulations to project future scenarios in our Deliver Network and model the trade-offs in the design of our network.
Key Responsibilities:
Simulation & Modeling:
- Simulate different scenarios based on variability in supply and demand.
- Model flow of products across the distribution network (incl. different modes of transportation).
- Model the operations of the nodes in the network (incl. capacity, capability, etc).
- Model different trade-off parameters like service / cost / capacity / network / resilience
- Architect and integrate solutions into existing analytics portfolio.
Business and Technical Support:
- Support users in adopting the tools.
- Put processes in place to maintain and expand the models.
- Collaborate with the technical teams on development and support.
- Evaluate and recommend new vendors, tools, and systems to support simulation & modeling, ensuring alignment with organizational goals.
- Uphold Johnson & Johnson’s Credo and Leadership Imperatives in all interactions, ensuring a collaborative and values-driven working environment.
Qualifications:
Education:
- Master’s or Ph.D. in Data Science, Statistics, Computer Science or Supply Chain.
Experience:
- Minimum of 8 years of experience in data science or analytics roles, preferably within the pharmaceutical or logistics sectors.
- Consistent track record of developing simulation and modeling in supply chain networks.
Technical Skills:
- Proficiency in programming languages such as Python for data analysis and modeling.
- Experience with supply chain optimization tools like Coupa, AIMMS, etc.
- Experience with Operations Research (optimization algorithms).
Soft Skills:
- Excellent communication skills with the ability to present complex data insights to non-technical stakeholders.
- Strong problem-solving skills and the ability to work independently as well as collaboratively across teams.
Preferred Qualifications:
Knowledge of pharmaceutical regulations related to distribution and transportation.
Familiarity with machine learning algorithms and their application in logistics.