Imaging Data Scientist

Humanitas is a world-famous center of excellence for research and treatment of immune system-related diseases, from cancer to cardiovascular, autoimmune and neurological diseases. It is member of the European Network of Immunology Institutes. Research activity is based on a strong collaboration between clinicians and researchers. A PhD program, accordant to the highest international standards, is active and provide daily laboratory research practice, together with courses on different disciplines. Scientific research is also integrated with the educational and training activity of the Humanitas University, an international university dedicated to the life sciences.

Multiscale ImmunoImaging Unit provides access to state-of-the-art light microscopes for scientists and clinicians within and outside Humanitas. The facility is in charge for set up and maintenance of instrumentation and training, development of methods and protocols and in vivo experimental models for confocal and IVM analysis. The personnel of the facility are involved in scientific collaborations for the development of optical microscopy-based applications for biomedical research. mIIu has an independent research program. mIIu is based on multi-scale Imaging approach through the use of technologies, including confocal microscopy, STED-based super-resolution, FLIM/FCS, multiphoton microscopy, in vivo optical Imaging based on luminescence and fluorescence tomography, chemical clarification of organs and 3D analysis, high-throughput Imaging on tissues and Imaging Mass Cytometry (IMC). High-capacity network of digital workstations is available for data processing and image analysis.

The person filling this position will collaborate with other members of mIIu responsibilities will include:

• design and optimization of image analysis workflows for optical microscopy and IMC;
• development of custom algorithms, integrating existing algo­rithms into innovative analysis pipelines;
• development of software and pipelines to facilitate the handling and analysis of complex datasets;
• exploratory data analyses, including statistical analysis, quality-check and visualization of complex datasets

The suitable candidate should have a master or PhD or equivalent qualification in physics, engineering, mathematics, informatics, biology, chemistry, biophysics, or broadly in the natural or applied sciences field.

The candidate is expected to have:

• proficiency in at least one scientific programming language (e.g. R, Python, MATLAB, etc.);
• familiarity with Linux environment and HPC is preferred;
• a solid mathematical background, distinct analytical and numerical skills;
• understanding of data structure, algorithms, and principles of software development;
• familiarity with data manipulation and analysis: ability to handle large datasets, cleaning and pre-processing data, knowledge of data visualization libraries and tools;
• experience with analysis of microscopy data with imaging software or other bioimage analysis software is highly desirable;
• experience with omics data is a plus;
• understanding of biological systems and willingness to familiarize with them is highly desirable;­

The applicant should be reliable, well organized and have the flexibility needed for working in a service-oriented context. Candidate must be able to work on a flexible schedule based on research needs and deadlines.

Good communication skills in English and the ability to be a team player in a multi-disciplinary environment are required.

Division: Multiscale ImmunoImaging Unit (mIIu)