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 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

Qualifications

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.
• The anticipated base pay for this position is Sophomore $28.50/hr, Junior $30.00/hr, Senior $32.00/hr, Master’s degree $38.00/hr, PhD $59.00/hr.

Ineligibility for severance.

This job posting is anticipated to close on 2/25/2025. The Company may however extend this time-period, in which case the posting will remain available on https://www.careers.jnj.com 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 Affirmative Action and 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, or protected veteran status and will not be discriminated against on the basis of disability.

Primary Location NA-US-California-San Diego

Organization Janssen Research & Development, LLC (6084)

Job Function Non-LDP Intern/Co-Op

Push the boundaries of science to transform health—and your career.

Join us and advance life-changing treatments for people who need them most. At Johnson & Johnson, our focus is on improving global health equity and developing MedTech and pharmaceutical innovations that impact the future of health. Using AI and robotics to transform surgery or helping data scientists and clinicians formulate new ways to diagnose and treat disease, this work may sound like sci-fi, but it’s all science, all real, and could be your career. Whatever your background, skills, or career goals, there’s a place for you to help solve some of the world’s most pressing health challenges with us.

Accelerate your career while changing the world.

Each of our broadly-based family of companies offers an inclusive and empowering culture and employee benefits (like paid time off to volunteer, transgender-inclusive and same-sex partner health insurance coverage, and more) designed to help you live your best life, however you define it. And our best-in-class learning and development approaches, mentorship, and access to innovators across the world will help you grow your skills and reach your career goals. Because when you're at your best, nothing stands between you and your next breakthrough.