Statistics & Decision Sciences Summer Interns 2027

Johnson & Johnson • La Jolla, NJ

11d

About The Position

Johnson & Johnson Innovative Medicine Research & Development is recruiting graduate-level Statistics & Decision Sciences summer interns at sites in Raritan, New Jersey; Titusville, New Jersey; Spring House, Pennsylvania; and La Jolla, California. Virtual internships and remote-work flexibility may be available. Statistics & Decision Sciences partners with multidisciplinary teams across Global Development, applying statistical reasoning, data science, and computing solutions to drug-development decisions.

Interns work with practicing statisticians and computing science specialists and learn about applied statistical work in clinical or nonclinical pharmaceutical settings. They contribute to Research & Development programs in areas including immunology, oncology, neuroscience, and cardiopulmonary science, supporting the drug-development lifecycle from discovery through Phase 2 and 3 clinical studies and pharmaceutical manufacturing. Each intern completes one or more defined projects with guidance from experienced statisticians or computing scientists and participates in mentoring, networking, and professional-development activities.

The program is for graduate students pursuing an MS, PhD, or equivalent degree in Statistics, Biostatistics, Data Science, Computer Science, or a related quantitative discipline. Interns must be available for 10–12 weeks from May through August 2027 and able to work 40 hours per week. Candidates must be permanently authorized to work in the United States without requiring employment visa sponsorship, and must have a minimum GPA of 3.0.

Requirements

• Be legally authorized to work in the United States as a U.S. citizen or permanent resident and not require employment visa sponsorship at application or in the future.
• Be enrolled in an accredited college or university and pursuing an MS, PhD, or equivalent graduate degree in Statistics, Biostatistics, Data Science, Computer Science, or a related quantitative discipline.
• Be available to work 10–12 weeks from May through August 2027.
• Be able to work full-time, 40 hours per week, during the internship.
• Have a minimum GPA of 3.0.

Nice To Haves

• Ability to apply statistical reasoning to complex scientific problems and clearly communicate analytical findings.
• Proficiency in R, Python, or related tools for statistical analysis, simulation, data visualization, or application development.
• Foundational knowledge of machine learning, artificial intelligence, or generative AI concepts and their application to quantitative research.
• Excellent communication, presentation, and leadership skills.
• Attention to detail, strong organizational skills, and ability to balance multiple tasks while delivering results.
• Ability to work independently as well as on a team.
• Demonstrated leadership or participation in campus programs and/or community service activities.

Responsibilities

• Contribute to Research & Development programs in immunology, oncology, neuroscience, cardiopulmonary science, or across the portfolio.
• Support work across the drug-development lifecycle, from drug discovery through Phase 2 and 3 clinical studies and pharmaceutical manufacturing.
• Prepare data and conduct graphical data exploration and data visualization.
• Perform statistical modeling and analysis and develop reproducible analytics.
• Write reports and develop computer programs or software applications supporting study design and statistical analyses.
• Potentially design experiments, conduct simulations to evaluate and optimize study designs, and contribute to statistical methodology development.
• Complete one or more defined projects with guidance from experienced statisticians or computing scientists.

Benefits

• Company-sponsored employee medical benefits, in accordance with the terms of the plan.
• Up to 40 hours of sick time per calendar year, or up to 56 hours per calendar year for employees who reside in Washington State.
• Eligibility to participate in the Company's consolidated retirement plan (pension).
• A housing stipend may be available for eligible on-site interns.

What This Job Offers

• Job Type: Full-time
• Career Level: Intern