12 Month – Work Placement Student Molecular AI

Join AstraZeneca for a 12month Work Placement Student Programme and help advance Molecular AI to accelerate drug discovery. Take a study break to apply your learning on real projects deepen your expertise and build the skills knowledge and network to accelerate your career while being mentored by experienced scientists in a collaborative researchdriven team.

About AstraZeneca
AstraZeneca is a global science-led patient-centered biopharmaceutical company focusing on discovering developing and commercializing 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 Programme
Our 12month Work Placement Student Programme starting in September 2026 offers handson experience in innovative drug discovery within a collaborative researchdriven organisation. Based at AstraZenecas Gothenburg site youll deepen your expertise apply your skills on real projects and develop new capabilities. Youll be mentored by experienced scientists and become an integral part of a supportive highperforming team.

About the role
In this role you will be able to define a research project aligned to one of our current directions in Molecular AI. Potential areas include agentic AI generative AI for molecular design cofolding chemistry foundation models quantummechanical (QM) calculations for reactions molecular simulations machinelearning potentials and prediction of binding affinity ADMET properties and chemical reactivity. Youll develop and apply computational models to generate hypotheses design molecules and guide experiments collaborating closely with domain experts to deliver impactful results for discovery programmes.

About the team
You will join the Molecular AI department within Discovery Sciences a multidisciplinary team at the intersection of chemistry physics machine learning and drug discovery. We build and apply stateoftheart AI/ML models and computational chemistry methods to understand molecular properties design better therapeutics and accelerate decisionmaking across therapy areas. The team works in close partnership with medicinal chemists structural biologists data scientists and project teams combining rigorous science with pragmatic engineering to deliver tools models and insights that move projects forward.

Who can apply
Were seeking students completing a Bachelors or Masters degree at a Swedish institution. You should be able to take a 12month study break and have the right to work in Sweden for the full duration without needing additional permits. Across all our programmes we look for individuals with drive enthusiasm strong teamwork skills and a genuine desire to learn.

Essential requirements:

• BSc or MSc student at a Swedish university in Computer Science Applied Mathematics Computational Chemistry Chemistry Physics Bioinformatics or a related discipline.
• You must have completed at least two years of your university education at the time of starting the placement and be returning to complete your studies after this opportunity ends.
• Applicants must have the eligibility to work in Sweden for 12 months from September 2026.
• Students will be expected to take a study break from their education to participate in the programme this will need to be arranged by the student at their institution. You must ensure that you receive the approval to take a study break from your university.

Whats next
We welcome your application as soon as possible but ahead of the scheduled closing date 31st of January 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.

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!

Date Posted

Closing Date