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.
/ppAs 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.
/ppThe 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.
/ph3Responsibilities and Main Activities /h3ulliProcessing and analysis of clinical, -omics and imaging data; harmonization of complex and highly fragmented data; /liliInvestigate,



define and support the implementation of scalable computational models in order to extract relevant features for improving personalized medicine programs; /liliCollaborate in research and development of innovative techniques for understanding disease-specific patterns from multi-modal and heterogeneous data; /liliExplore, define and support the clinical validation of the statistical and AI/ML integrative models applied to real-world data; /liliContribute to solutions design and establishment of requirements; /liliVisualize data, report effective results and derive useful knowledge using a data-driven approach; /liliSelf and team-management on individual and team-sized studies' deadlines; /liliCollaborate with international partners on cross-academic research projects.
/li /ulh3Qualifications and required skills /h3ulliWe 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.
/liliUnderstanding of –omics data structures and modeling.
Experience in -omics data analysis is preferably; /liliExperience 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; /liliGood knowledge of machine learning and deep learning techniques (e.g. k-NN, SVM, Random Forests, CNN, autoencoders, etc.)



applied to healthcare; /liliGood knowledge of statistical methods applied to medical data; /liliGood scripting and programming skills (R, Python, bash); /liliWorking knowledge of containers technologies (Docker and/or Singularity); /liliExperience in cloud (GCP, AWS) and/or distributed computing (HPC) is appreciated; /liliExperience in pipeline development, of reproducible research (e.g. git) and/or reproducible software development is a plus; /liliFluent in written and spoken English and Italian; /li /ulh3Soft Skills /h3ulliExcellent team-working capabilities even with colleagues from different research areas and backgrounds; /liliStrong self-motivation, commitment and proactive approach; /liliAbility to meet deadlines and work autonomously in rapidly changing environments; /liliCuriosity and ability of stepping outside your comfort zone.
/li /ulh3Why you should consider this opportunity /h3pHumanitas 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.
/ppYou 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.
/ppAll candidate data collected from the application shall be processed in accordance with applicable law: Dlgs ******** e dei Dlgs ******** e ********; privacy ex artt.
13 e 14 del Reg.
UE ********.
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📌 Data Scientist - Bioinformatician Ai Center (Bardi)
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