ppbPostdoctoral Researcher in Multimodal AI for Cancer Research /b /p pWork location: Via Rita Levi Montalcini 4, 20072 | Pieve Emanuele (MI) /p pContract type: Coordinated and Continuous Collaboration Agreement (Co.Co.Co.) /p h3Why Humanitas /h3 pChoosing Humanitas means joining an environment where quality of care is built every day through clinical expertise, innovation and teamwork, where everyone contributes to the patient care journey. /p h3Who we are /h3 pHumanitas University is an international institution dedicated to the Life Sciences, closely integrated with the IRCCS Humanitas Research Hospital and the Humanitas hospital network. The University combines education, research, and clinical practice within a highly international environment. Medicine and Surgery and MEDTEC School are taught entirely in English, and the University currently hosts more than 3,000 students, with international students accounting for 43% of the Medicine cohort. Teaching activities take place on a modern, sustainable 35,000 sqm Campus designed to foster interaction among students, researchers, and faculty, with facilities including the Anatomy Lab and the Simulation Center – the only center in Italy fully accredited by the European Society for Simulation in Medicine for excellence in healthcare simulation training. /p h3The context /h3 pThe Computational Biology Laboratory led by Prof. Charlotte Ng is seeking a highly motivated data scientist or AI researcher to develop computational methods for precision oncology. Our research combines clinical data with bulk, single-cell and spatial omics,



digital pathology and other biomedical data to study tumour heterogeneity and improve patient stratification and treatment response prediction. /p pThe successful candidate will develop and evaluate machine learning approaches for modelling complex, heterogeneous and incompletely observed biomedical data. The work may encompass multimodal representation learning, deep generative modelling, transfer learning and robust predictive modelling. The candidate will work closely with computational biologists, AI researchers, experimental scientists and clinicians, while having scope to develop new methodological directions within the laboratory’s research programme. /p h3Key tasks and responsibilities /h3 ul liDevelop, optimize and rigorously evaluate machine learning models for high-dimensional biomedical and multi-omics data. /li liInvestigate generative and representation learning approaches for multimodal data integration and modelling. /li liDesign appropriate benchmarking and validation strategies, including assessment of model robustness, generalizability and biological relevance. /li liApply the resulting methods to clinically relevant questions in cancer biology, biomarker discovery and treatment response prediction. /li liCollaborate with computational, experimental and clinical researchers and contribute to scientific publications and presentations.



/li /ul h3The person we are looking for: /h3 h3Essential qualifications /h3 ul liPhD in computer science, machine learning, statistics, mathematics, computational biology or a related discipline. /li liStrong foundations in machine learning, statistical modelling or artificial intelligence. /li liExperience developing models using Python and a modern deep-learning framework, preferably PyTorch. /li liAbility to design rigorous computational experiments and critically evaluate model performance. /li liExcellent communication, organizational and scientific writing skills in English. /li liAbility to work independently while collaborating effectively within a multidisciplinary team. /li /ul h3Desirable experience /h3 ul liDeep generative models, representation learning, transfer learning or multimodal learning. /li liAnalysis of high-dimensional, low-sample size datasets. /li liBiomedical and omics data analysis. /li liModel interpretability, uncertainty estimation or learning with incomplete modalities. /li liImage-based or other multimodal biomedical data. /li /ul h3What we offer /h3 pWorking at Humanitas means contributing to a future where care, wellbeing and professional excellence grow together. For this reason, we offer: /p ul lia wellbeing programme; /li lipractical work-life balance measures /li litraining and development opportunities to foster talent and enhance skills in a dynamic and innovative environment. /li /ul pThis offer is open to candidates in compliance with Legislative Decrees 198/2006, 215/2003 and 216/2003. /p /p #J-18808-Ljbffr

📌 Bioinformatic (Pieve Emanuele)
🏢 Humanitas Research Hospital
📍 Pieve Emanuele