IDAR Summer Intern (EASE)
Johnson & Johnson Innovative Medicine
This job at a glance
- Who can apply
- New grads and up to 20 years · MBA / PGDM
- Must know
- SpringStakeholder management
- Nice to have
- Data analysisPatient careBusiness analysis
- Work
- On-site in Raritan · internship
- Pay
- Not stated by the employer.
- Skill demand
- Data analysis25%Stakeholder management17%Spring14%Patient care6%of 99 similar entry-level jobs posted in the US this week
- Listed
- Nov 3, 2026 · still open
Sign in free to see which of these skills your resume already shows.
About the Role
The Integrated Data Analytics and Reporting (IDAR) organization is seeking a highly motivated Summer Intern to join the Enabling Analytics & System Excellence (EASE) function. EASE supports clinical development through data, systems, analytics, and process excellence. This internship provides hands-on experience applying analytical thinking, computer systems concepts, and emerging technologies to support clinical trial processes and operational decision-making. The intern will contribute to initiatives involving data analysis, systems, automation, and Artificial Intelligence (AI), gaining exposure to pharmaceutical research and development.
- Intern Term: May to August 2027
- Hours: Full-time (40 hours per week)
- Vacancies: 2
- Locations: Raritan, New Jersey, USA; Spring House, Pennsylvania, USA; Titusville, New Jersey, USA
Key Responsibilities
- Support data, analytics, systems, and process-related initiatives within the EASE organization.
- Apply analytical and problem-solving skills to support clinical trial processes and operational activities.
- Support the evaluation and application of AI-powered tools and frameworks to clinical development use cases.
- Contribute to initiatives that leverage AI for automation, data analysis, operational efficiency, and decision-making.
- Support activities focused on improving data quality and generating actionable insights across clinical trial planning and execution.
- Work with team members to understand business and system needs and contribute to technology-enabled solutions.
- Learn and adapt to new technologies, systems, analytical approaches, and digital tools.
- Collaborate with cross-functional partners on assigned projects and initiatives.
- Document project activities, findings, and recommendations, and communicate results to stakeholders.
- Provide additional project support as needed.
Requirements & Tech Stack
- Completion of Undergraduate Freshman year at an accredited University is required.
- Must be actively enrolled in an accredited university for the duration of the internship pursuing a Bachelor's, Master's, and/or MBA degree.
- Pursuing a degree in Data Science, Computer Science, Engineering, Health-related disciplines, Scientific disciplines, or other related quantitative or technical fields.
- Cumulative GPA of 3.5 or higher.
- Strong analytical and problem-solving skills.
- Ability to understand and learn computer systems concepts, new technologies, and digital tools.
- Ability to work effectively both independently and within a collaborative, cross-functional environment.
- Permanently authorized to work in the U.S. and will not require visa sponsorship now or in the future.
- Students on CPT, OPT, or STEM OPT generally require future sponsorship and may not meet requirements unless eligible for an alternative long-term status without company sponsorship.
- Candidates under 18 may need necessary working papers and parental consent for background checks.
Preferred Qualifications
- Interest or experience in data analytics, data science, computer systems, or technology-enabled process improvement.
- Familiarity with Artificial Intelligence (AI), AI-powered tools, or related emerging technologies.
- Interest in applying AI and automation to improve processes, data quality, analysis, and decision-making.
- Familiarity with data collection, analysis, visualization, or interpretation.
- Interest in clinical research, clinical trials, pharmaceutical R&D, or drug development.
- Ability to quickly learn and adapt to new technology platforms, tools, and systems.
- Strong communication and presentation skills.
- Strong organizational skills with the ability to manage multiple activities and priorities.
- Demonstrated initiative, curiosity, adaptability, and collaborative problem-solving skills.
Compensation & Benefits
-
Expected Pay Range: $23.50 per hour to $52.50 per hour (based on program year, discipline, degree, and/or experience).
-
Medical Benefits: Eligible to participate in Company sponsored employee medical benefits.
-
Sick Time: Up to 40 hours per calendar year (up to 56 hours for employees residing in Washington State).
-
Retirement Plan: Eligible to participate in the Company’s consolidated retirement plan (pension).
-
Application Close Date: November 9, 2026 (subject to extension).