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Job Function:
Data Analytics & Computational SciencesJob Sub Function:
Data ScienceJob Category:
Scientific/TechnologyAll Job Posting Locations:
Titusville, New Jersey, United States of AmericaJob Description:
The Global Deliver - Innovative Medicines team is currently seeking a skilled Sr Data Scientist- Operations Research to join our team.
This role will focus on enhancing our analytics portfolio within IM (Innovative Medicines) Global Deliver through advanced modeling and simulation techniques.
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
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.
- Uphold Johnson & Johnson’s Credo and Leadership Imperatives in all interactions, ensuring a collaborative and values-driven working environment.
Education:
- Master’s in Data Science, Statistics, Computer Science or Supply Chain.
Experience:
- Minimum of 4 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 Lyric, 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.
- Knowledge of pharmaceutical regulations related to distribution and transportation.
- Familiarity with machine learning algorithms and their application in logistics.
Required Skills:
Preferred Skills:
Advanced Analytics, Business Intelligence (BI), Coaching, Collaboration, Critical Thinking, Data Analysis, Database Management, Data Privacy Standards, Data Reporting, Data Savvy, Data Science, Data Visualization, Econometric Models, Process Improvements, Technical Credibility, Technologically Savvy, Workflow AnalysisThe anticipated base pay range for this position is :
$109,000.00 - $174,800.00Additional Description for Pay Transparency:
Subject to the terms of their respective plans, employees are eligible to participate in the Company’s consolidated retirement plan (pension) and savings plan (401(k)).Subject to the terms of their respective policies and date of hire, employees are eligible for the following time off benefits:
Vacation –120 hours per calendar year
Sick time - 40 hours per calendar year; for employees who reside in the State of Colorado –48 hours per calendar year; for employees who reside in the State of Washington –56 hours per calendar year
Holiday pay, including Floating Holidays –13 days per calendar year
Work, Personal and Family Time - up to 40 hours per calendar year
Parental Leave – 480 hours within one year of the birth/adoption/foster care of a child
Bereavement Leave – 240 hours for an immediate family member: 40 hours for an extended family member per calendar year
Caregiver Leave – 80 hours in a 52-week rolling period10 days
Volunteer Leave – 32 hours per calendar year
Military Spouse Time-Off – 80 hours per calendar year
Skills Required
- Master's in Data Science, Statistics, Computer Science or Supply Chain
- Minimum of 4 years of experience in data science or analytics roles
- Track record developing simulation and modeling in supply chain networks
- Proficiency in Python for data analysis and modeling
- Experience with supply chain optimization tools such as Lyric
- Experience with supply chain optimization tools such as AIMMS
- Experience with Operations Research and optimization algorithms
- Excellent communication skills to present complex insights to non-technical stakeholders
- Strong problem-solving skills and ability to work independently and collaboratively
- Knowledge of pharmaceutical distribution and transportation regulations
- Familiarity with machine learning algorithms applied to logistics
Johnson & Johnson Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Johnson & Johnson and has not been reviewed or approved by Johnson & Johnson.
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Healthcare Strength — Healthcare coverage is characterized as comprehensive across medical, dental, and vision, with added supports like onsite clinics, fitness centers, and Employee Assistance resources. Mental-health services and wellbeing reimbursements are also described as meaningful components of the overall package.
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Retirement Support — Retirement offerings are portrayed as a major differentiator, combining a 401(k) with employer matching and an employer-funded pension plan. Stock options and other long-term financial supports are also positioned as part of the broader rewards mix.
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Parental & Family Support — Family-related benefits are presented as notably strong, including paid parental leave for all new parents and additional leave types for caregiving and bereavement. Financial assistance for adoption, fertility treatment, and surrogacy is highlighted as a significant support.
Johnson & Johnson Insights
What We Do
Profound Change Requires Boldness. Johnson & Johnson is the largest and most broadly based healthcare company in the world. We’re producing life-changing breakthroughs every day, and have been for the last 130 years. The combination of new technologies and your expertise enables amazing things to happen. Teams from J&J’s consumer business are creating digital tools to help people track the health of their skin. Those working in medical devices are 3-D printing artificial joints personalized for each patient, while researchers in pharmaceuticals use AI to discover lifesaving drugs. Imagine what the rest of our team of 134,000 people at 260 companies in more than 60 countries across the world is accomplishing. We redefine what it means to be a big company in today’s world. Social Media Community Guidelines: http://www.jnj.com/social-media-community-guidelines
