Senior Data Analyst

Johnson & Johnson

Remote Hybrid

Quick summary

Work type: Remote
Location: Titusville, NJ
Salary: $110,000–$117,000 / yr
Posted: 5 days ago
Closes: Aug 3, 2026
Nearby: 99+ roles within 25 mi

Market check

Salary context

Below market

How this pay compares to similar roles

Similar $164k

This role $114k

$98k most similar roles pay here $221k

This role pays less than 93% of similar roles. Most pay $130,458–$197,133 — the shaded band above. At the midpoint, this role pays about $114k versus about $164k 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 61 open roles on FindRole.

Listed pay typically runs $117,000–$201,250 across 58 roles with salary data.

Most-posted roles

View all roles at Johnson & Johnson

At a glance

TL;DR · Senior Data Analyst

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As a Senior Data Analyst at Johnson & Johnson, you will join the Real World Evidence and Data Science team to develop data products and models that accelerate business outcomes globally. Your day-to-day responsibilities include applying engineering principles for data mining and visualization on EMR, registry data, and insurance claims, generating real-world insights using advanced techniques such as EDA, classification, regression, clustering, text mining, imaging analysis, graph theory, and conversational AI. You will work with hundreds of datasets to develop AI-ready data and collaborate across the J&J Data and AI community to identify cross-functional opportunities that drive value. The role requires expertise in Python, R, SQL, and machine learning frameworks like TensorFlow or PyTorch, along with a Master’s degree in Statistics, Computer Science, Machine Learning & Data Science, Computational Informatics, Bioinformatics, or related field.

Skills

Python SQL R Tableau PowerBI AWS Azure Google Cloud Platform Docker Kubernetes Terraform CI/CD Git Jupyter Notebook Scikit-learn TensorFlow PyTorch PostgreSQL MongoDB BigQuery

What you'll do

Develop data products and models to accelerate business outcomes using real-world evidence.
Apply engineering principles for data mining and visualization on EMR, registry, and insurance claims data.
Generate insights in scientific and business areas through novel data modeling solutions.
Translate complex business problems into data problems and develop analytical solutions.
Collaborate with the J&J Data and AI community to identify cross-functional opportunities.
Develop AI-ready datasets from global real-world data for advanced GenAI model applications.

What we're looking for

Master's degree in Statistics, Computer Science, Machine Learning & Data Science, Computational Informatics, Bioinformatics or related field
1 year of experience developing data products and data science models
Experience applying engineering principles for data mining and visualization on EMR, registry data, and insurance claims
Ability to generate real-world insights using novel data mining, modeling, and visualization solutions
Proficiency in AI-ready data development from global datasets for advanced analytics
Collaborative skills to develop best practices and identify cross-functional opportunities within the J&J Data and AI community

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