
Johnson & Johnson is hiring interns for the position of Summer Intern – Statistics & Decision Sciences (Dec Sci) for 2025. Explore the detailed breakdown below and learn exactly how to apply for this competitive opportunity.
About Johnson & Johnson
Johnson & Johnson is one of the world’s most respected healthcare companies, trusted for over 130 years for its research-driven approach to improving human health. With leadership in Innovative Medicine, MedTech solutions, and global health impact, J&J creates treatments and technologies used across the world.
The company stands out for its strong values, inclusive culture, and commitment to nurturing young talent. Students who join J&J gain exposure to some of the most impactful scientific and healthcare projects shaping the future of medicine.
Internship Overview
• 📌 Position: Summer Intern – Statistics & Decision Sciences (Dec Sci)
• 📍 Location: Spring House, PA / Raritan, NJ / Titusville, NJ / La Jolla, CA
• ⏱ Time Commitment: Full-Time Internship
Unique Insight:
This internship is more than classroom-style statistical work. Interns collaborate directly with practicing statisticians working across drug discovery, clinical trials, and pharmaceutical manufacturing. You get real-world exposure to data preparation, modeling, experiment design, and analysis supporting actual research pipelines.
This hands-on work helps interns understand how statistical decisions shape medicines that eventually reach millions of patients worldwide.
Roles & Responsibilities
As a Dec Sci intern at Johnson & Johnson, you will support real research and development workflows. Interns will engage in:
• Preparing datasets and creating clean structures for analysis
• Exploring and visualizing data to identify trends or anomalies
• Building and testing statistical models for clinical or nonclinical work
• Writing reports, summaries, and documentation for scientific use
• Coding statistical programs and scripts to support analysis (mainly in R)
• Supporting research teams across drug discovery, Phase 2 & 3 trials, and manufacturing
• Running simulations for experiment design and optimal methods
• Participating in methodological development discussions
• Collaborating with statisticians and computing specialists
• Presenting findings and contributing to team-level discussions
Unique Career Insight:
This role offers a rare combination: exposure to advanced statistics plus an understanding of how statistical decisions guide real medical innovation. Interns who excel often transition into biostatistics, data science, pharma analytics, or full-time roles within J&J’s global research teams.
Qualifications & Eligibility
To apply, candidates must meet the following criteria:
• Enrolled in an accredited university
• Pursuing a degree in Statistics, Biostatistics, Data Science, or a related quantitative field
• Strong academic foundation (GPA 3.0+ preferred)
• Able to work full-time during the internship period
• Legally authorized to work in the United States (no visa sponsorship)
• Detail-oriented, organized, and able to handle multiple tasks
• Comfortable working independently and in groups
• Leadership experience and community involvement are advantages
• Proficiency in R is preferred
• Strong analytical thinking and ability to communicate technical concepts clearly
Actionable Application Tip:
Highlight any project where you handled real datasets, coded in R, or built statistical models. Even classroom projects count—J&J values practical work more than theoretical coursework.
Benefits & Perks
• Pay: Competitive hourly rate
• Housing & travel reimbursement may be available
• Opportunity to support high-impact healthcare research
• Hybrid work model depending on location
• Work alongside experienced statisticians and researchers
• Exposure to clinical trials, experiment design, and pharmaceutical data systems
• Strong diversity and inclusion culture
• Chance to be evaluated for future employment at J&J
Important Dates
• 🗓 Application Deadline: November 30, 2025
• 📅 Internship Start Date: Check It Below
How to Apply
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