Lead Data Scientist

Johnson & Johnson

Remote

Quick summary

Work type: Remote
Location: Remote
Salary: $140,000–$160,000 / yr
Posted: 2 days ago
Closes: Aug 11, 2026

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $168k

This role $150k

$110k most similar roles pay here $235k

This role pays less than 70% of similar roles. Most pay $135,000–$200,050 — the shaded band above. At the midpoint, this role pays about $150k versus about $168k for comparable roles.

Based on 240 similar postings.

Employer

About Johnson & Johnson

Johnson & Johnson is a multinational corporation operating in three main segments: consumer health products, pharmaceuticals, and medical devices, known for brands like Tylenol, Band-Aid, and Janssen. Industry: Pharmaceuticals & Medical Devices

Johnson & Johnson currently has 71 open roles on FindRole.

Listed pay typically runs $120,000–$201,250 across 68 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Lead Data Scientist

Role Posting Log in to save

The Lead Data Scientist role at Janssen Supply Group in New Brunswick, NJ involves designing advanced data science solutions for complex pharmaceutical and medical device supply chains. Day-to-day responsibilities include developing optimization models, integrating these into production-ready systems, and deploying software solutions using Python, SQL, and Tableau. The position requires expertise in stochastic simulation, queueing theory, and graph databases like Neo4j to analyze and optimize manufacturing and distribution processes. Ideal candidates have a Master's degree in Industrial Engineering, Operations Research, or Data Science and four years of relevant experience, with a focus on healthcare industry supply chain analytics and mathematical optimization techniques.

Skills

Python SQL Tableau SIMIO Neo4j Graph databases Stochastic simulation Monte Carlo simulation Discrete Event simulation Queueing theory Mathematical optimization Supply chain analytics Data science product design Healthcare industry processes CI/CD

What you'll do

Develop advanced system simulation models for pharmaceutical supply chain optimization.
Design data science solutions based on business requirements and integrate them into production systems.
Create new algorithms and mathematical models to optimize manufacturing and distribution sites.
Analyze and improve supply chains using stochastic, statistical, and queueing theory models.
Deploy supply chain optimization software solutions by coding in Python, SQL, and Tableau.

What we're looking for

Master's degree in Industrial Engineering, Operations Research, Data Science or related field required.
4 years of experience in healthcare industry manufacturing and supply chain processes.
Expertise in supply chain analytics, requirements gathering for advanced solutions.
Proficiency in mathematical optimization, queueing theory, stochastic simulation techniques.
Skilled in Python, SQL, SIMIO, Tableau, and graph database (Neo4j).
Experience designing data science products and integrating models into production solutions.

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