PpLocalità: Rozzano, IT, 20089 /p h3Overview /h3 pWe are looking for one highly motivated Bioinformatician/Data scientist with expertise in bioinformatics, machine and deep learning related areas to join our interdisciplinary group, as independent researcher. /p pAs part of our technological team, we expect the candidate to help us discover the hidden information underlying complex data (clinical information, DNA-seq, RNA-seq, single-cell and histopathological medical image data), developing innovative multi-modal integrative and deep learning-based models able to translate research findings into personalized healthcare strategies. The common purpose leading the research activities is the progression toward a data-driven precision medicine with a main focus on rare hematological diseases. /p pThe AI Center of Humanitas is focused in research in the field of Artificial Intelligence applied in healthcare. Research and development areas include predictive and decision-support systems based on data-driven model (ML/DL models) to optimize clinical processes and ultimately improve the quality of patient care. We are a team of multidisciplinary scientists who work day by day on e-health and AI projects, by collaborating with clinical staff (doctors, nurses, researchers) and management staff. /p h3Responsibilities and Main Activities /h3 ul liProcessing and analysis of clinical, -omics and imaging data; harmonization of complex and highly fragmented data; /li liInvestigate, define and support the implementation of scalable computational models in order to extract relevant features for improving personalized medicine programs; /li liCollaborate in research and development of innovative techniques for understanding disease-specific patterns from multi-modal and heterogeneous data; /li liExplore, define and support the clinical validation of the statistical and AI/ML integrative models applied to real-world data; /li liContribute to solutions design and establishment of requirements; /li liVisualize data, report effective results and derive useful knowledge using a data-driven approach; /li liSelf and team-management on individual and team-sized studies’ deadlines; /li liCollaborate with international partners on cross-academic research projects. /li /ul h3Qualifications and required skills /h3 ul liWe invite applications from highly motivated and outstanding students with a Master Degree’s or PhD (preferably but not mandatory) in one of the following disciplines: Bioinformatics or Computational Biology, Biomedical Engineering or Computer Science or STEM related disciplines. /li liUnderstanding of –omics data structures and modeling. Experience in -omics data analysis is preferably; /li liExperience in developing algorithms for data integration investigating disease-specific relevant markers, exploring dimensionality reduction methods to identify latent patterns and key features for clinical process improvement; /li liGood knowledge of machine learning and deep learning techniques (e.g. k-NN, SVM, Random Forests, CNN, autoencoders, etc.) applied to healthcare; /li liGood knowledge of statistical methods applied to medical data; /li liGood scripting and programming skills (R, Python, bash); /li liWorking knowledge of containers technologies (Docker and/or Singularity); /li liExperience in cloud (GCP, AWS) and/or distributed computing (HPC) is appreciated; /li liExperience in pipeline development, of reproducible research (e.g. git) and/or reproducible software development is a plus; /li liFluent in written and spoken English and Italian; /li /ul h3Soft Skills /h3 ul liExcellent team-working capabilities even with colleagues from different research areas and backgrounds; /li liStrong self-motivation, commitment and proactive approach; /li liAbility to meet deadlines and work autonomously in rapidly changing environments; /li liCuriosity and ability of stepping outside your comfort zone. /li /ul h3Why you should consider this opportunity /h3 pHumanitas Research Hospital is investing in data driven research and development of clinical support tools based on AI, you will contribute to the design and application of breakthrough technologies to be deployed in advanced clinical institutions. /p pYou will get access to an extraordinary group of talented and passionate people coming from fields ranging from clinical sciences and healthcare management to informatics, bioinformatics and systems biology, including our extended international research network. /p pAll candidate data collected from the application shall be processed in accordance with applicable law: Dlgs 198/2006 e dei Dlgs 215/2003 e 216/2003; privacy ex artt. 13 e 14 del Reg. UE 2016/679. /p /p #J-18808-Ljbffr