Research Associate – In Vivo Pharmacology; m​/f​/d

Shape the Future of Cancer Research – One Experiment at a Time

Location: Basel, Switzerland – 100% on-site

Our client is a globally leading pharmaceutical company headquartered in Basel, Switzerland, renowned for its cutting-edge Biomedical Research division – the innovation engine driving breakthrough therapies in oncology and beyond. With a world-class team of scientists and state-of-the-art research infrastructure, this organisation is at the forefront of oncology drug discovery, leveraging advanced technologies to develop transformative treatments for patients worldwide.

As a Research Associate – In Vivo Pharmacology (m/f/d), you will play a key role in the Oncology Drug Discovery team:

• Design, execute, and interpret in vivo pharmacology studies in rodent models within a high-paced drug discovery environment
• Apply advanced imaging technologies – including ultrasound, micro-CT, bioluminescence, and MRI – to assess tumour biology and evaluate the efficacy of novel therapeutic candidates
• Perform molecular and cellular biology assays such as qRT-PCR, immunoblotting, ELISA, cell culture, and stable/transient cell line generation
• Collaborate actively with cross-functional expert teams across the global Oncology Drug Discovery Research organisation
• Contribute to data analysis and interpretation using bioinformatics tools, supporting experimental design and scientific decision-making

• Academic background: MSc, BSc, or qualified Lab Technician (apprenticeship/vocational training) in Pharmacology, Cell Biology, or a related discipline (PhD candidates cannot be considered)
• Animal science certification: LTK Module 1 or equivalent qualification in laboratory animal science
• Solid expertise in cellular and molecular biology techniques (qRT-PCR, immunoblotting, cell culture, ELISA, cell line generation)
• Strong communicator in English with the ability to work autonomously within a global, interdisciplinary team
• Familiarity with bioinformatics tools for data analysis and experimental design is a plus
• Knowledge of cancer biology and signalling pathways is an advantage
• Self-motivated, collaborative team player with excellent organisational skills and a track record of delivering in a high-quality research environment