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ASAstrazeneca logo

Astrazeneca

Sweden - Gothenburg, Sweden

Thesis Work, 30 Credits - Supporting Ligand-AI with High-Quality Protein Reagents and Next-Generation RP3Net Models.

DATA & ML
Are you passionate about protein science and excited by the opportunities created by artificial intelligence in drug discovery? Join us for a hands-on master’s thesis where you will produce and quality-check recombinant proteins in E. coli, investigate expression conditions across 97 constructs, and help improve next-generation protein expression prediction models. About AstraZeneca: AstraZeneca is a global, science-led, patient-centred biopharmaceutical company focusing on discovering, developing, and commercialising 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: Artificial intelligence is increasingly being used to support protein production and accelerate drug discovery. However, the performance of AI models depends on access to high-quality experimental data and reliable protein reagents. In this thesis project, you will support the Ligand-AI project by producing recombinant proteins in Escherichia coli and generating data that can be used to evaluate and improve protein expression prediction models, including RP3Net. What you’ll do You will work experimentally with recombinant protein production using E. coli as an expression system. The project will include expressing, purifying, and quality-checking proteins that will be screened to discover new small molecule ligands within the Ligand-AI project. You will investigate how different codon optimization strategies and expression conditions affect protein production across 97 constructs. By systematically comparing experimental results, you will assess protein expression outcomes and identify conditions that support the production of high-quality proteins. The project will also involve analyzing the experimental data in relation to predictions from RP3Net and other internal models. Based on your findings, you will explore how these models can be improved and how experimental data can contribute to more reliable predictions of recombinant protein expressions. Your impact: Your work will contribute to the generation of high-quality protein reagents for an AI-driven drug discovery project. By combining hands-on laboratory work with data analysis and model evaluation, you will help improve the understanding and prediction of recombinant protein production in E. coli. The results may support more efficient protein production workflows and contribute to the development of next-generation computational models. You can read more here about RP3Net and Ligand-AI: https://doi.org/10.1093/bioinformatics/btag003 https://ligand-ai.org/ Placement:   This is an on-site position at AstraZeneca Gothenburg. Please note, AstraZeneca does not support with accommodations for this role. Structure: Duration: Spring 2027 Credits: 30 Essential Requirements: Enrolled in a Master’s programme within biochemistry, biotechnology, molecular biology, protein science, or a related field. Previous lab-based experience with recombinant protein production using E. coli. Expression of recombinant protein in E. coli cells and purification of recombinant proteins from E. coli cells, ideally using nickel NI-NTAbased protein chromatography. Experience with experimental laboratory procedures, including following protocols, documenting results, and troubleshooting. Interest in protein science, experimental data analysis, FAIR data capture and the application of AI or computational models in biology. Strong analytical and problem-solving skills. Excellent English communication skills, including scientific writing and presentation 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 October 27, 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 06-okt.-2026 Closing Date 27-okt.-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.
Pay
Not stated
Where
Sweden - Gothenburg, Sweden
Work
Not stated
Type
Not stated
Posted
6 Oct, 2026
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