• An internationally operating, innovative Swiss pharmaceutical company, a leader in its field
• Flexible working hours and extensive training opportunities
• A motivated multicultural team and environment

• Applying established and novel approaches to model multi-modal clinical data to identify biomarkers predictive of disease progression and treatment response, and to nominate novel therapeutic target hypotheses
• Developing and applying a portfolio of pre-clinical models derived from internal and public data to departmental projects
• Working closely with a core team of Translational Research & Data Science scientists fluent in wet and dry lab practices
• Actively participating on interdisciplinary teams to model biology and guide impactful decision-making in drug discovery and early development
• Actively participating in alliances with external partners at top healthcare institutions, including the opportunity to publish your findings

• Life sciences industry experience modeling biomedical research data
• Demonstrated working knowledge and application of statistics and data modeling to large scale life-sciences data
• Hands-on experience in integration of large multi-omics data (genomics, transcriptomics, proteomics and metabolomics) to answer key scientific questions related to understanding disease
• Hands-on industry experience with clinical data and its responsible handling
• Hands-on experience applying AI and machine learning methods to scientific or R&D data
• Experience using AI tools, including large language models and agentic workflows, to accelerate analysis and decision-making
• Proficiency in R/Python and competency working in a Linux environment
• Reproducible research practitioner with demonstrated visualization and reporting skills
• Fluent in English and local language.
• Basel on-site role

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