At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are 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 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.

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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 are searching for the best talent for GenAI/ Eval Engineers (3 Positions) based in any of the locations (Titusville NJ/Raritan NJ/La Jolla CA/Hybrid)

Purpose:

We are seeking a highly motivated GenAI/ EVAL Engineer Intern to join our AI/ML team within the Innovative Medicine division. This internship provides a valuable opportunity for college juniors and seniors 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. Youll 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

Contribute to the design and implementation of AI Agents and authoring tools that enable smarter more efficient content creation and management processes.

Qualifications / Requirements:

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 Real World Data along with a desire to gain domain knowledge in the field.

Experience with Git version control and writing code in Python

Preferred:

Background or coursework in computer science information systems biomedical engineering or life sciences.

Hands-on experience through internships or projects involving data engineering and data science.

Familiarity with machine learning frameworks (e.g. TensorFlow PyTorch Hugging Face) Dev Ops tools (e.g Jenkins Docker Kubeflow SageMaker).

Experience with cloud platforms (AWS GCP Azure) and data processing tools (e.g. Apache Spark Airflow).

Previous independent or classroom research experience on data-focused projects.

Previous experience or interest in developing AI Agents and digital tools for content authoring or automation.

The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidates program year discipline degree and/or -Ops/Interns are eligible to participate in Company sponsored employee medical benefits in accordance with the terms of the -Ops and Interns are eligible for the following sick time benefits: up to 40 hours per calendar year; for employees who reside in the State of Washington up to 56 hours per calendar -Ops and Interns are eligible to participate in the Companys consolidated retirement plan (pension).

For additional general information on Company benefits please go to: job posting is anticipated to close on 3/11/2026. The Company may however extend this time-period in which case the posting will remain available on to accept additional applications.

Permanently authorized to work in the U.S. must not require sponsorship of an employment visa (e.g. H-1B or green card) at the time of application or in the future. Students currently on CPT OPT or STEM OPT usually requires future sponsorship for long term employment and do not meet the requirements for this program unless eligible for an alternative long-term status that does not require company sponsorship.

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 external applicants please contact us via . Internal employees contact AskGS to be directed to your accommodation resource.

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