GenAI Data Science / AI Operations Intern Summer 2025

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 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 https://www.jnj.com/ .
About Innovative Medicine

Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements.

Visionaries like you work on teams that save lives by developing the medicines of tomorrow.

Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.

Learn more at https://www.jnj.com/innovative-medicine

We are searching for the best talent for GenAI Data Science / AI Operations Internship to be in San Diego, Ca .
Purpose:

We are seeking a highly motivated GenAI Data Science / AI Operations Intern to join our AI/ML team within the Innovative Medicine division.

This internship provides a valuable opportunity for college juniors, seniors, masters and PhDs passionate about applied machine learning and data engineering.

In this role, you will contribute to real-world projects focused on transforming healthcare through generative AI and data solutions.

You'll collaborate with data scientists and engineers to develop, optimize, and deploy machine learning models, building scalable ML pipelines that support critical business objectives.
You will be responsible for:


* Use hands-on exploration to gain exposure to and familiarity with large-scale datasets, including text, images, and structured data


* Build data engineering pipelines to transform and enrich datasets for generative AI model training and evaluation


* Develop backend cloud engineering infrastructure that enables scalable AI/ML deployment and automation frameworks


* Stay informed on cutting-edge applications and tools in generative AI, AI Operations, and cloud computing, and present insights to the team through trainings and discussions


* Develop code-based automated data pipelines capable of processing large volumes of multimodal data for AI applications

Required:


* Currently pursuing a degree in Computer Science, Data Science, Bioinformatics, Engineering, Digital Health, or a related field.


* Strong understanding of core concepts in Statistics, Data Science, or Computer Science, as demonstrated through current or prior coursework.


* Excellent written and verbal communication skills, with the ability to convey technical and non-technical concepts effectively.


* Familiarity with exploring and analyzing large datasets.


* A genuine interest in innovative research in Digital Health and Re...