Senior Machine Learning Developer
Pubblicato il 10-10-2026 - Human Technopole in Milano
Build the science that shapes the future of human health. Application closing date: 11.11.2026 Join a place where ambitious science thrives Human Technopole (Milan) is a rapidly expanding life science institute where international researchers and cutting-edge technologies converge to accelerate biomedical discovery. Our mission is to transform bold scientific ideas into advances that improve human health. Within this mission, the Casale Group in the Health Data Science Centre develops AI methods that transform population-scale human data into mechanistic models of disease. Our research integrates large-scale human genetics with molecular and clinical data to generate testable hypotheses that accelerate biological discovery and therapeutic innovation. We are recruiting an ambitiousAI Scientist to build the reusable AI foundations and agentic scientific systems that power the group's research across human genetics, multimodal biology, and disease.
Your mission As AI Scientist,
you will develop next-generation AI systems at the interface of ambitious biological research and frontier artificial intelligence, using population-scale genetics and multimodal biomedical data to uncover mechanisms of human disease.
You will turn methods and models emerging from this research into robust, reusable AI capabilities—including foundation models, multimodal representation learning, agentic workflows, evaluation frameworks, and scalable research software that can accelerate discovery across multiple projects. A longer-term goal is to develop AI systems that increasingly act as scientific collaborators: connecting evidence across biological scales, proposing testable hypotheses, identifying informative analyses, and working alongside researchers to accelerate iterative cycles of biological discovery.
Your work will combine methodological innovation, biological discovery, and scientific software development at the intersection of artificial intelligence, computational biology, and hum