Thesis work, 15 credits Optimising material flow by applying Lean Methodology

Are you passionate about pharmaceuticals and want to make an impactful contribution together with our internal Materia Management and Distribution team through applying lean methodology and data analysis We offer an exciting thesis opportunity to help shape the future processes at Drug Product Delivery!

About AstraZeneca:

AstraZeneca is a global science-led patient-centred biopharmaceutical company focusing on discovering developing and commercialising prescription medicines for some of the worlds most serious diseases. But were more than a global leading pharmaceutical company. At AstraZeneca were dedicated to being a Great Place to Work and empowering employees to push the boundaries of science and fuel their entrepreneurial spirit.

About the Opportunity:

Drug Product Delivery within Pharmaceutical Technology & Development is the sole internal AstraZeneca department that packs labels and distributes investigational medicinal products to clinical trial patients. We support launched pre-launched and products under development within all our therapeutic areas. It is a fast-paced environment where flexibility and agility enable us to deliver high value to early phase clinical trials

As a Thesis Worker you will find an environment that is full of unique opportunities and exciting challenges. We are offering a thesis opportunity for a motivated student to help us push the boundaries of material processing.

Thesis work description:
Join our curious and creative team to support the optimisation of our material flow during goods receipt at Drug Product Delivery. You will be involved in data collection process evaluation and the development of new Key Performance Indicators together with the leadership of the team.

Your project will play a key role in our mission to significantly reduce our lead-times withing the clinical supply chain to ensure delivery of patient needs.

Key Objectives:
Through applying Lean Methodology:

• Collect and analyse data in an exploratory way to identify and describe material flow.
• Help to develop and implement data collection to monitor process performance.
• Design and suggest both quantitative and qualitative Key Performance Indicators for the flow of material.
  

Structure:

• Duration: Spring term 2026
• Credits: 15

Requirements:

• Enrolled in a relevant bachelors program (e.g. logistics/chemistry/pharmacy/engineering or sciences).
• Strong communication skills and the ability to work effectively within a team and independently.
• Interest in Lean Methodology

So whats next

Apply today and take the chance to be part of making a difference making connections and gaining the tools and experience to open doors and fulfil your potential. We cant wait to hear from you!

We welcome your application as soon as possible but ahead of the scheduled closing date 31st of October 2025. In the event that we identify suitable candidates ahead of the scheduled closing date we reserve the right to withdraw the vacancy earlier than published.

Date Posted

Closing Date