Logo of Huzzle


Product Development Co-Op (6-months)

Logo of Haleon


10d ago

🚀 Off-cycle Internship


AI generated summary

  • You must have creative and problem-solving skills, strategic thinking, resilience in ambiguity, and a desire to learn. Pursuing a BS/MS in related fields and able to work full-time for 6 months. Knowledge of skin science and adhesion technology is preferred.
  • You will apply statistical science to develop innovative topical patch products, collaborate with scientists, optimize product performance, and communicate findings to stakeholders.

Off-cycle Internship



  • Future Talent roles at Haleon offer the chance to change the way people see and manage their everyday health. That’s an incredible opportunity. An exciting challenge. And a huge responsibility. We’re always looking for ambitious individuals who are inspired by our purpose to deliver better everyday health, with humanity. And want to help us achieve this goal. Right now we’re looking for Co-Op in Voltaren Product Development to join us to do career defining work.


  • Creative and problem-solving thinking
  • Strategic/big-picture thinking
  • Entrepreneurial and agile mindset
  • Strong prioritisation and analytical skills
  • Personal accountability
  • Business and consumer/customer knowledge and understanding
  • Adaptability and resilience in ambiguity
  • A desire to learn and have meaningful impact
  • Education required:
  • Pursuing a BS or MS degree in Chemical, Pharmaceutical Science, Polymer sciences or related fields
  • Able to work full-time (35-40 hours/week) throughout the 6-month Co-Op cycle (June/July – January)
  • Other requirements:
  • Working knowledge of skin science and adhesion technology would be preferred

Education requirements

Currently Studying

Area of Responsibilities



  • Work in a compliant manner to ensure the safety of yourself, others, and the protection of the environment
  • Demonstrate excellence in the application and communication of statistical science in new product development
  • Under the supervision of a senior staff, apply standard data science methods to solve analytical questions, including collecting data, cleaning data, and apply quantitative data science methods to predict product performance
  • Develop new innovations for topical patch application
  • Collaborate with analytical scientists to develop novel testing methods
  • Optimization of product attributes and performance
  • Optimize work process and procedures
  • Conclude and communicate findings during tenure as coop to stakeholders


Work type

Full time

Work mode