Data Science Intern

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

Job Function

Career Programs

Job Sub Function

Non-LDP Intern/Co-Op

Job Category

Career Program

All Job Posting Locations:

Schaffhausen, Switzerland

Job Description

Location: Schaffhausen

Contract: Fixed term (6 months)

Start date: May 2025

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/.

We are looking for a talented and driven Master’s Student or a recent Master’s graduate (within 12 months) to join our team for a Data Science project. In this role, you will develop and deploy a model to streamline Tech Transfers. You will collaborate closely with the Schaffhausen site and the Global Process Science Modeling & Data teams to deliver a solution to eliminate the need for time and resource consuming lab experiments.

Join us in crafting the future of pharmaceutical manufacturing!

Responsibilities

• Clean and preprocess the available data
• Develop and compare various Machine Learning models to select the best one
• Work cross-functionally with internal teams to successfully deploy and test the selected model
• Present findings and innovations at internal meetings
  
  

Qualifications

• Enrolled in or recently graduated from a Master’s program in a STEM field (e.g. Chemical Engineering, Physics, Computer Science or other relevant field)
• A strong background in data-driven modeling
• Proficiency in scientific programming with Python
• Outstanding ability to identify, analyze, and proactively and independently address potential challenges
• Excellent communication and teamwork skills and ability to work effectively within cross-functional teams