Lead Data Scientist

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 Med Tech, 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  () .

As guided by Our Credo, Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson, we respect the diversity and dignity of our employees and recognize their merit.

** Job Function:*
* Data Analytics & Computational Sciences

** Job Sub*
* ** Function:*
* Data Science

** Job Category:*
* Scientific/Technology

** All Job Posting Locations:*
* New Brunswick, New Jersey, United States of America

*
* Job Description:

*
* *
* Employer:

** Janssen Supply Group, LLC

*
* Job Title:

** Lead Data Scientist

** Job Code:
** A011.7911

*
* Job Location:

** New Brunswick, NJ

** Job Type:
** Full-Time

** Rate of Pay:**      $140,000 - $160,000

*
* Job Duties:

** Perform Advanced System Simulation and Optimization Modeling supporting design of large and complex pharmaceutical and medical device supply chains using advanced operations research models. Design data science solutions based on gathering and translation of business requirements. Integrate models into E2E production strength solutions which can be deployed for use by business users. Develop new algorithms and mathematical models for supply chain optimization of manufacturing and distribution sites.

Analyze and de-bottleneck supply chains using stochastic, and statistical models. Deploy supply chain optimization software solutions built by coding in Python, SQL and Tableau. Develop End to End supply chain network simulation models using SIMIO tool for high volume pharma and medical device products and analyze potential risk associated in delivering products on time. Develop supply chain digital twin using graph databases in Neo4j.

May telecommute.

** Requirements:
** Employer will accept a Master's degree in Industrial Engineering, Operations Research, Data Science, or related field and 4 years of experience in the job offered or in a Lead Data Scientist-related occupation.

Position requires experience with:

1. Healthcare industry manufacturing and supply chain processes;

2. Supply chain analytics including requirements gathering for advanced analytics solutions;

3. Mathematical optimization and queueing theory;

4. Stochastic simulation, Monte Carlo simulation, and Discrete Event simulation techniques;

5. Python, SQL, SIMIO and Tableau;

6. Graph database (Neo4j); and

7. Data science product design.

This job posting is anticipated to close on  
** 8/11/2026** .

Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, protected veteran status or other characteristics protected by federal, state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson & Johnson is committed to providing an interview process that is inclusive of our applicants' needs. If you are an individual with a disability and would like to request an accommodation, please contact us via  or contact AskGS to be directed to your accommodation resource.

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)).

This position is eligible to participate in the Company's long-term incentive program.

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 -…