Data Science Intern, Clinical Omics

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 jnj.com.

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.

Job Function:

Career Programs

Job Sub Function:

Non-LDP Intern/Co-Op

Job Category:

Career Program

All Job Posting Locations:

Brisbane, California, United States of America, Cambridge, Massachusetts, United States of America, La Jolla, California, United States of America, Spring House, Pennsylvania, United States of America, Titusville, New Jersey, United States of America

Job Description:

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 

About MedTech

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 https://www.jnj.com/medtech

We are searching for the best talent for Data Science Intern, Clinical Omics to be in PA Spring House.

• The Intern / Co-op term is from June to August, 2026.
• Full time requirement (40 hours per week).

Purpose:

We are seeking a highly motivated and innovative Data Science Intern to support research and development efforts focusing on the Clinical Omics Framework. This internship offers a unique opportunity to collaborate with the Population Analytics & Insights team to develop pathway enrichment modules for clinical proteomics data. These enhancements will directly inform biomarker strategies and support data-driven clinical trial decision-making across multiple therapeutic areas.

Key Responsibilities

• Contribute to the development and optimization of analysis modules used to support clinical trial decision-making.
• Collaborate with data scientists to refine workflows that integrate proteomics, clinical endpoints, and biological interpretation.
• Develop pathway enrichment approaches tailored to SomaScan and Olink proteomic platforms.
• Incorporate causal mediation analysis methods into the clinical omics framework.
• Evaluate how treatment interventions may influence clinical outcomes through intermediate molecular changes.

Qualifications / Requirements:

• Completion of Undergraduate Freshman year at an accredited University is required.
• Enrolled in an accredited college/university pursuing a PhD degree in Computational Biology, Human Genetics, Bioinformatics, Biostatistics, or a related field

• Be in your second year or above in school with a graduation date after August 2026
• GPA of 3.0 or above
• Authorized to work in the United States during the full duration of the summer internship (05/2026 – 08/2026)
• Familiarity with basic statistics concepts/terminology
• Detail-oriented, highly organized and able to manage multiple tasks
• Demonstrated ability to work independently as well as on a team
• Proficiency with Microsoft Office (Word, Excel, Power Point) and have strong oral and written communication skills

Preferred Qualifications

• Experience with proteomics data (SomaScan or Olink preferred)
• Familiarity with