ppbBuild the science that shapes the future of human health. /b /p pbApplication closing date: /b /p h3Join a place where ambitious science thrives /h3 pHuman Technopole (HT) is an international research institute dedicated to advancing human health through interdisciplinary life science research. Located in Milan's MIND innovation district, HT brings together scientists from around the world to tackle fundamental questions in biology using state-of-the-art technologies and large-scale datasets. /p pWithin this mission, the bBiostatistics Unit /b of the bCentre for Genomics - Population and Medical Genomics Programme /b provides statistical expertise across research projects, supporting the analysis of complex human genetic and multi-omics data to uncover the biological mechanisms underlying health and disease. /p pWe are seeking a bStatistical Geneticist /b to contribute to innovative population and medical genomics research by developing robust analytical strategies and collaborating with multidisciplinary teams with a particular focus on defining and analysing complex multivariate phenotypes, such as multicellular programmes and multimorbidity measures. /p h3Your mission /h3 pAs a Statistical Geneticist, you will provide statistical and computational expertise to support cutting-edge genomic research across the Centre. /p h3You Will /h3 ul liLead and conduct advanced statistical genetics analyses, including GWAS, polygenic risk scores, fine-mapping, heritability estimation, genetic correlation, Mendelian randomisation, multi-omics integration, and related computational analyses using large-scale genetic, genomic, multi-omic, phenotypic, clinical, imaging, and electronic health record datasets. /li liAdvise research group leaders, collaborators, PhD students, postdoctoral researchers, and junior analysts on appropriate statistical, genetic, epidemiological, computational, machine-learning, and AI-based approaches to address biological and clinical research questions.



/li liTranslate complex research questions into robust and reproducible analytical strategies, including study design, data requirements, model selection, pipeline development, sensitivity analyses, documentation, interpretation of results, and transparent reporting. /li liDevelop, apply, evaluate, and validate methods for deriving embeddings, latent variables, scores, and other quantitative representations of multivariate traits, such as multicellular programmes, disease trajectories, multimorbidity patterns, and complex phenotypic profiles, ensuring biological interpretability and relevance to downstream genetic analyses. /li liReview analytical plans, code, results, and interpretations to ensure methodological rigour, reproducibility, data governance, appropriate reporting and best practice in version control, workflow management, documentation, while keeping abreast of emerging methods in statistical genetics, computational biology, machine-learning, and AI. /li /ul h3Grow Your Skills /h3 pYou will work alongside internationally recognised researchers in statistical genetics, genomics and computational biology, contributing to high-impact research while developing your expertise through collaboration, mentoring and continuous learning. /p pHuman Technopole supports career development through dedicated training opportunities, scientific seminars and an international research environment. /p h3Essential /h3 h3What you'll bring /h3 ul liPhD in Statistical Genetics, Biostatistics, Statistics, Epidemiology, Bioinformatics, Computational Biology or another relevant quantitative discipline.



/li liHands-on experience in statistical genetics and the analysis of large-scale human genetic and genomic datasets. /li liStrong programming skills in R and/or Python and experience working in Linux/HPC environments. /li liExperience with statistical genetics software (e.g. PLINK, REGENIE, GCTA or equivalent). /li liFluency in spoken and written English. /li /ul h3Preferred /h3 ul liExperience with multi-omics and/or single-cell datasets. /li liExperience applying machine-learning or AI approaches to biological data. /li liExperience with reproducible research practices and version control (e.g. Git/GitHub). /li liPrevious experience mentoring or supervising junior researchers. /li /ul h3Organizational and social skills /h3 ul liAbility to communicate complex analytical results /li liCollaborate effectively within multidisciplinary research teams /li liHighly organised and meticulous. /li /ul pbAt HT, your discoveries contribute to a global effort to improve human health. /b /p pJoining Human Technopole means working in an international, collaborative and data-driven research environment where statistical genetics plays a central role in advancing precision medicine and understanding the genetic basis of human disease. /p h3Why Human Technopole /h3 pHT offers an international and dynamic workplace, competitive welfare provisions, flexible working policies and relocation support. Researchers moving to Italy may vantaggi from attractive tax incentives. We promote work-life balance and provide parental support initiatives. /p pThis is a permanent position, offered under bCCNL Chimico Farmaceutico - Level B2 /b. /p pbSalary: /b up to €50,000 gross annual salary, depending on the candidate's experience and qualifications + €2000 welfare /p pThe position is based in bMilan, Italy /b, within our vibrant international campus. /p pWe strongly encourage applications from candidates belonging to protected categories (L. 68/99). /p /p #J-18808-Ljbffr

📌 Statistical Geneticist (Milano)
🏢 Human Technopole
📍 Milano