Integrated Data Analytics and Reporting (IDAR) Student Placement – Clinical and Statistical Programming (C&SP)

Job Function: Career Programs

Job Sub Function

Non-LDP Intern/Co-Op

Job Category

Career Program

All Job Posting Locations

High Wycombe, Buckinghamshire, United Kingdom, Maidenhead, Berkshire, United Kingdom

Job Description

Integrated Data Analytics and Reporting (IDAR) Student Placement - Clinical and Statistical Programming (C&SP)

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 https://www.jnj.com

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

Johnson & Johnson is currently recruiting Placement Students for our Integrated Data Analytics and Reporting (IDAR) function. We are recruiting for the following department: Clinical and Statistical Programming (C&SP). The position is for university students who will be looking to complete a 12 month industry placement.

We are seeking highly motivated candidates to join our pharmaceutical research department. The successful candidate can gain invaluable hands-on experience in analysis helping advance our medicines in development at Johnson & Johnson.

We are seeking an innovative Clinical & Statistical Programming Placement Student to join our team, offering hands-on experience in analysis tools for data integration, automation, and clinical insights. Collaborate with experts to support projects that enhance operational efficiency and meet business needs. As a C&SP Placement student, you can leverage AI-based programming to design and develop statistical solutions for clinical research analysis and reporting, or create AI-driven technology tools to support C&SP.

How you can make a difference: Make an impact by applying your understanding of data structures and AI programming (SAS, R, and Python) techniques to analyze trial data and craft innovative solutions tailored to business needs.

Upon successful completion of your training your main responsibilities may include (but not be limited to):

• Work with Clinical & Statistical Programming counterparts applying analyses in an array of disease areas.
• Conduct research to identify innovative solutions that can be applied to our business processes.

• Collaborate with team members to design and develop solutions using SAS, R, Python, RPA, Power Automate and other tools.

• Create and maintain documentation for solutions.

• Stay up to date with emerging technologies and trends.

Qualifications:

· Ability to effectively apply knowledge and skills in a complex environment.

· Ability to work independently and collaboratively in a fast-paced environment.

· Good written and verbal communication skills.

· Good problem solving and decision making.

· Strong analytical and problem-solving skills.

· Strong attention to detail and accuracy.

• Familiarity with programming languages such as SAS, R, Python, and others. Exposure to Data Bricks, LSAF, SAS Enterprise, and other Data Science platforms is a plus.

Education Requirements:

• Successful completion of the first two years of a degree course.
• A minimum of a 2:1 achieved in the first year.
• Mathematical, Life Sciences, Computer Science, Data Science and related degrees preferred.

Please note that our office will be relocating to central Maidenhead from October 2026. Applicants should ensure that this location is suitable for them.

Required Skills

Preferred Skills