Commercial Data Science & AI Co-op

At Johnson & Johnson,we believe health is everything.

Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions 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 jnj.com

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:
Career Programs

Job Sub Function:
Non-LDP Intern/Co-Op

Job Category:
Career Program

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

Job Description:

About MedTech

Fueled by innovation at the intersection of biology and technology, we're developing the next generation of smarter, less invasive, and more personalized solutions to improve patient outcomes around the world.

At Johnson & Johnson MedTech, we combine data, analytics, artificial intelligence, and deep commercial expertise to enable better decision-making and drive meaningful business impact.

Job Description

This position has allocated resources for relocation support.

We are searching for the best talent for a Data Science & AI Co-Op within the Digital & Commercial Innovation organization.

We are looking for a motivated and analytical co-op to support the development of machine learning and generative AI solutions for commercial and healthcare analytics.

Potential projects include using data science to improve e-commerce customer engagement and scaling AI-enabled approaches for medical procedure code labeling across clinical specialties.

The successful candidate will have the opportunity to work directly on applied analytics initiatives while collaborating with data scientists, commercial stakeholders, subject matter experts, and technology teams.

Key Responsibilities



* Support development of machine learning and AI solutions that improve customer engagement and commercial decision-making.


* Analyze commercial, e-commerce, and healthcare datasets to identify trends, opportunities, and actionable insights.


* Assist with development and evaluation of predictive models, generative AI applications, and retrieval-augmented generation solutions.


* Support expansion of AI-enabled procedure code labeling capabilities, including specialty-specific prompt development, testing, and documentation.


* Develop dashboards, visualizations, and analytical tools that translate data into business recommendations.


* Evaluate model performance, data quality, and analytical integrity across data science solutions.


* Co...