GenAI Data Science / AI Operations Intern

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 ;br>
Job Function:
Career Programs

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

Job Category:
Career Program

All Job Posting Locations:
San Diego, California, United States of America

Job Description:

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 ;br>
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 ;br>
We are searching for the best talent for GenAI Data Science / AI Operations Intern to be in San Diego, CA.

• Internship typical term is 10-12 weeks June to September, 2025
• Full time requirement (40 hours per week)

Purpose:

We are seeking a highly motivated 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

Qualifications / Requirements:

• Completion of Undergraduate Freshman year at accredited University is required.
• Minimum GPA of 2.8 is 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.
• Permanently authorized to work in the U.S., must not require sponsorship of an employment visa (e.g., H-1B or ) 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.

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, Google Cloud Platform, Azure) and data processing tools (e.g., Apache Spark, Airflow).
• Previous independent or classroom research experience on data-focused projects.

The anticipated base pay for this position is between $22.00/hr and $51.50/hr, but will be based on candidate's program year, discipline, degree and/or experience. This position is overtime eligible. Intern/Co-ops may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, holiday pay, and the Company's consolidated retirement plan in accordance with the terms of the applicable plans. Housing stipend will be offered for those that qualify. This position is ineligible for severance. For additional general information on Company benefits, please go to: ;br>
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 and 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, please email the Employee Health Support Center () or contact AskGS to be directed to your accommodation resource.

Remote work options may be considered on a case-by-case basis and if approved by the Company.

#LI-Hybrid

The anticipated base pay range for this position is :
22$ per hour to 51.50$ per hour

Additional Description for Pay Transparency:
The anticipated base pay for this position is between 22$ per hour and 51.50$ per hour but will be based on candidate's program year, discipline, degree and/or experience. This position is overtime eligible. Intern/Co-ops may be eligible to participate in Company employee benefit programs such as medical insurance, sick time, holiday pay, and the Company's consolidated retirement plan in accordance with the terms of the applicable plans. Housing stipend will be offered for those that qualify. This position is ineligible for severance. For additional general information on Company benefits, please go to: