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Data Scientist - Bioinformatician

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Humanitas Research Hospital

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Location:
Italy , Rozzano

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

We 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. As 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.

Job Responsibility:

  • Processing and analysis of clinical, -omics and imaging data
  • harmonization of complex and highly fragmented data
  • Investigate, define and support the implementation of scalable computational models in order to extract relevant features for improving personalized medicine programs
  • Collaborate in research and development of innovative techniques for understanding disease-specific patterns from multi-modal and heterogeneous data
  • Explore, define and support the clinical validation of the statistical and AI/ML integrative models applied to real-world data
  • Contribute to solutions design and establishment of requirements
  • Visualize data, report effective results and derive useful knowledge using a data-driven approach
  • Self and team-management on individual and team-sized studies’ deadlines
  • Collaborate with international partners on cross-academic research projects

Requirements:

  • Master Degree’s or PhD (preferably but not mandatory) in Bioinformatics or Computational Biology, Biomedical Engineering or Computer Science or STEM related disciplines
  • Understanding of –omics data structures and modeling
  • Experience in -omics data analysis is preferably
  • Experience 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
  • Good knowledge of machine learning and deep learning techniques (e.g. k-NN, SVM, Random Forests, CNN, autoencoders, etc.) applied to healthcare
  • Good knowledge of statistical methods applied to medical data
  • Good scripting and programming skills (R, Python, bash)
  • Working knowledge of containers technologies (Docker and/or Singularity)
  • Fluent in written and spoken English and Italian

Nice to have:

  • Experience in cloud (GCP, AWS) and/or distributed computing (HPC) is appreciated
  • Experience in pipeline development, of reproducible research (e.g. git) and/or reproducible software development is a plus

Additional Information:

Job Posted:
March 03, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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