02 ott
|
Human Technopole
|
Milano
02 ott
Human Technopole
Milano
pbBuild the science that shapes the future of human health. /b /p pbBuild the science that shapes the future of human health. /b bApplication closing date: /b bJoin a place where ambitious science thrives /b 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. /p h3Your mission /h3 pAs Postdoc in Statistical Genetics, you will develop computational methods that connect human genetic variation to biological function. Using population-scale human genetics together with single-cell, spatial, and multimodal molecular data, you will identify the cells, cellular states, and biological programs through which genetic variation influences disease. Your work will sit at the intersection of statistical genetics, machine learning, and mechanistic biology, with opportunities to lead methodological innovation and drive high-impact biological discoveries. The role will give you access to population-scale human genetics, rich multimodal molecular and clinical datasets, and world-class AI and experimental research environments. This combination provides a unique foundation for ambitious research and enables biological questions to be explored at unprecedented scale. As part of Human Technopole's interdisciplinary AI ecosystem, you will engage closely with the European AI community,
including through collaborations with Helmholtz Munich and connections to the ELLIS network. Your work will benefit from interactions with computational, biological, and clinical groups across the institute, alongside opportunities for international collaboration, research exchanges, interdisciplinary training, and engagement with industry. You will also draw on the group’s established network across leading academic institutions and industry partners in Europe and North America, helping you build collaborations, broaden your expertise, and accelerate the impact of your research. /p h3Grow Your Skills /h3 pYou will enhance your scientific and professional skills by: /p ul liDeveloping next-generation methods integrating human genetics and multimodal biology. /li liDriving biological discovery across population-scale, molecular, and clinical data. /li liBuilding an internationally recognized research profile through top publications and conferences. /li liShaping the future of AI for science across academia, industry, and entrepreneurship. /li /ul h3Essential /h3 h3What you'll bring /h3 ul liPhD in Statistical Genetics, Computational Biology, Bioinformatics, Biostatistics, Machine Learning, or a related quantitative discipline, or expected to be completed within the next six months. /li liStrong publication record in leading computational biology, genetics, or biomedical journals. Ideally, your work has focused on developing computational methods motivated by biological questions using population-scale human genetics or multimodal molecular data.
/li liExcellent programming skills in Python. /li liStrong foundation in statistical genetics and quantitative methods for analysing large-scale genetic and molecular data, with familiarity with modern machine learning approaches. /li /ul h3Preferred /h3 ul liExperience with GWAS, biobanks, or population-scale genetics. /li liExperience with single-cell, spatial transcriptomics, or functional genomics. /li liExperience developing research software for large-scale genomic or molecular datasets /li liBackground in Bayesian statistics, causal inference, or probabilistic modelling. /li liFamiliarity with modern AI architectures and foundation models. /li /ul h3Organizational and social skills /h3 ul liStrong analytical thinking and scientific curiosity. /li liAbility to work independently while thriving in an interdisciplinary and collaborative environment. /li liExcellent communication and scientific writing skills. /li liCreativity, intellectual humility, and enthusiasm for tackling challenging biological questions. /li liSelf-motivated, proactive, and eager to take ownership of ambitious research projects. /li /ul h3Why Human Technopole /h3 pHT offers an international and dynamic workplace, competitive welfare provisions, flexible working policies and relocation support. Researchers moving to Italy vantaggi from attractive tax benefits. We promote work-life balance and provide parental support initiatives. /p pThis is a fixed-term 3-year contract, offered under CCNL Chimico Farmaceutico, level B2. /p pExpected start date: January 2027. /p pSalary: up to € 43k. /p pThe position is based in Milan, Italy, within our vibrant international campus. /p pbWe strongly encourage applications from candidates belonging to protected categories (L. 68/99). /b /p #J-18808-Ljbffr
📌 Postdoc in Statistical Genetics Casale Group (Milano)
🏢 Human Technopole
📍 Milano