Would you like to use data analytics to understand what affects lead times in pharmaceutical manufacturing? In this thesis project, you will analyze large volumes of batch data to identify bottlenecks and process variation, and develop insights to support production improvements. About AstraZeneca: AstraZeneca is a global, science-led, patient-centered biopharmaceutical company focusing on discovering, developing, and commercializing prescription medicines for some of the world’s most serious diseases. But we’re more than a global leading pharmaceutical company. At AstraZeneca, we're 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: As a Thesis Worker at AstraZeneca, you’ll find an environment that’s full of unique opportunities and exciting challenges. Here, you’ll have the opportunity to pursue your areas of interest whilst equally developing a broad skillset and knowledge base to get the best out of your experience. You’ll be working on meaningful projects to make an impact and deliver real value for our patients and our business. Thesis work description: A new control system has been introduced in production, and batch lead times are reported to be longer than with the previous system. In this thesis project, you will analyse batch execution data collected by the DeltaV process control system to investigate where delays and waiting times occur, what may be causing them, and where there is potential to improve overall lead times. You will develop a repeatable method for extracting, processing and analysing the available data, using Python or similar tools. The data may include information on process execution, equipment utilisation, waiting times, alarms, operator interventions and batch durations. Working with process engineers, operators and the automation team, you will validate your findings and assess which improvement opportunities could have the greatest impact. Key Objectives: Identifying bottlenecks, waiting times and process variations that may contribute to longer batch lead times. Quantifying the potential impact of identified improvement opportunities on manufacturing performance. Developing visualisations and KPIs to support ongoing process monitoring and optimisation. Exploring how data analytics and AI-based methods could support future lead-time improvements. The expected outcome is a set of process improvement recommendations, a repeatable analysis methodology and a proof of concept—such as a dashboard or analytical framework—for identifying opportunities to reduce lead times. Placement:   This is an on-site position at AstraZeneca Södertälje. AstraZeneca does not support with accommodations for this role Structure: Duration: Spring 2027 Credits: 15 1-2 students Essential Requirements: Currently studying for a bachelor’s degree in a relevant field, such as chemical engineering, process engineering, industrial engineering, automation and control, data science, computer science, applied mathematics or statistics. Experience with data analysis and basic statistical methods. Programming skills in Python, R or a similar language. Knowledge of data processing; experience with databases or SQL is an advantage. Strong analytical and problem-solving skills, with the ability to communicate findings clearly and systematically. Interest in manufacturing processes, industrial automation and digitalisation. Desirable Requirements: Experience analysing process, production or time-series data. Knowledge of process control systems or pharmaceutical manufacturing. Experience with DeltaV. Familiarity with data visualisation tools such as Power BI. Knowledge of machine learning or AI techniques. So, what’s 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 can´t wait to hear from you! We welcome your application as soon as possible, but ahead of the scheduled closing date November 10, 2026. 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 20-okt.-2026 Closing Date 10-nov.-2026 Our mission is to build an inclusive and equitable environment. We want people to feel they belong at AstraZeneca and Alexion, starting with our recruitment process. We welcome and consider applications from all qualified candidates, regardless of characteristics. We offer reasonable adjustments/accommodations to help all candidates to perform at their best. If you have a need for any adjustments/accommodations, please complete the section in the application form. AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world’s most serious diseases. But we are more than one of the world’s leading pharmaceutical companies. At AstraZeneca, we’re dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science, challenge convention and unleash your entrepreneurial spirit. To embrace differences and take bold actions to drive the change needed to meet global healthcare and sustainability challenges. There is no better place to make a difference in medicine, patients, and society. An inclusive culture where you will connect different thinking to generate new and valuable opportunities. Where you will find a commitment to lifelong learning, growth and development for all. Our Inclusion & Diversity (I&D) mission is to create an inclusive and equitable environment where people belong, using the power of our diversity to push the boundaries of science to deliver life-changing medicines to patients. Inclusion and diversity are fundamental to the success of our company, because innovation requires breakthrough ideas that only come from a diverse workforce empowered to challenge conventional thinking. We’re curious about science and the advancement of knowledge. We find creative ways to approach new challenges. We’re driven to make the right choices and be accountable for our actions. As an organisation centred around what makes us human, we put a big focus on people. Across our business, we want colleagues to wake up excited about their day at the office, in the field, or in the lab. Along with our purpose to bring life-changing medicines to people across the globe, we have a promise to you: to help you realise the full breadth of your potential. Here, you’ll do work that has the potential to change your life and improve countless others. And, together with your team, you’ll shape a culture that unites and inspires us every day. This is your life at AstraZeneca.

Thesis Work, 15 Credits - Analysis of Process Batch Data to Identify Lead Time Improvement Opportunities in Active Pharmaceutical Ingredient (Chemical) Manufacturing.

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