IDAR Summer Intern (EASE)

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.

We are searching for the best talent for IDAR Summer Intern (EASE) to be in Raritan, NJ or Spring House, PA. The Intern term is from May to August, 2027. Full time requirement (40 hours per week). 2 vacancies are currently available.

Purpose

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. In this role, the intern will gain hands-on experience applying analytical thinking, computer systems concepts, and emerging technologies to support clinical trial processes and operational decision-making. The internship provides an opportunity to contribute to initiatives involving data analysis, systems, automation, and Artificial Intelligence (AI), while gaining exposure to pharmaceutical research and development and the technologies that support clinical development.

Responsibilities

• Supporting data, analytics, systems, and process-related initiatives within the EASE organization.
• Applying analytical and problem-solving skills to support clinical trial processes and operational activities.
• Supporting the evaluation and application of AI-powered tools and frameworks to clinical development use cases.
• Contributing to initiatives that leverage AI to support automation, data analysis, operational efficiency, and decision-making.
• Supporting activities focused on improving data quality and generating actionable insights across clinical trial planning and execution.
• Working with team members to understand business and system needs and contribute to technology-enabled solutions.
• Learning and adapting to new technologies, systems, analytical approaches, and digital tools.
• Collaborating with cross-functional partners on assigned projects and initiatives.
• Documenting project activities, findings, and recommendations and communicating results to relevant stakeholders.
• Providing additional project support as needed.

Qualifications / Requirements

• Completion of Undergraduate Freshman year at an accredited University is required.
• Candidates must be actively enrolled in an accredited university for the duration of the internship while pursuing a Bachelor's, Master's, and/or MBA degree in Data Science, Computer Science, Engineering, Health-related disciplines, Scientific disciplines, other related quantitative or technical fields.
• Have a cumulative GPA of 3.5 or higher, which is reflective of all college coursework.
• 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., 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 requires 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.
• If you are under 18 years of age, you (the candidate) may need to obtain the necessary working papers or other documentation required by state law to start the assignment, as well as get a parent's consent for the background check.

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.