Intern Data Science & Digital Health PAI – Neuroscience single cell transcriptomics

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 Med Tech, 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.

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Career Programs

Non-LDP Intern/Co-Op

Career Program

Brisbane, California, United States of America;
Cambridge, Massachusetts, United States of America;
Raritan, New Jersey, United States of America;
San Diego, California, United States of America;
Spring House, Pennsylvania, United States of America;
Titusville, New Jersey, United States of America

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Fueled by innovation at the intersection of biology and technology, we’re developing the next generation of smarter, less invasive, more personalized treatments. Your unique talents will help patients on their journey to wellness. Learn more at

Data Science Intern, PAI to be in PA Spring House
.

• Intern / Co-op term:
  June to August 2026.
• Full‑time requirement: 40 hours per week.

In this role, you will join the Data Science and Digital Health organization within Johnson and Johnson Innovative Medicine, focusing on leveraging large‑scale single cell transcriptomic data in the context of Neuroscience.

• Collaborate and work closely with Data Scientists and Scientists to investigate disease‑associated cellular states and derive biological insights.
• Perform advanced analytics to investigate how disease risk variants alter cellular states.
• Apply single cell methods to analyze cellular state trajectories with respect to clinical disease progression and disease‑related endophenotypes.
• Follow all best practices for code version control and reproducible research.

• Completion of Undergraduate Freshman year at an accredited University is required.
• Currently enrolled in a PhD program in Data Science, Computational Biology, Bioinformatics, or related field.
• Have a cumulative GPA of 2.8 or higher.
• 2+ years of hands‑on experience in single cell transcriptomic analyses using Python‑based methods.
• Fluent in Python.
• Experience with code version control using Git.
• Preferred Qualifications:
  • Solid foundation in Neuroscience single‑cell analytics and modeling.
  • Strong background in Neuroscience cell type biology.
  • Strong communication and scientific presentation skills.
  • Exposure to cellular state detection and analyses.

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 require 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.

The expected pay range for this position is between $23.00 per hour and $51.50 per hour but will be based on candidate's program year, discipline, degree and/or experience. Co‑Ops/Interns are eligible to participate in Company‑sponsored employee medical benefits in accordance with the terms of the plan. Co‑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…