Full-Stack Developer for federated XNAT

University of Torino, Torino, Italy Full-Stack Developer for federated XNAT

A grant for a 1-year position is available for a Research Fellow at the Molecular Imaging Center headed by Prof. Silvio Aime (www.cim.unito.it) - University of Torino (Torino, Italy) starting June 2021.

About the opportunity

The successful applicant will work in a stimulating interdisciplinary environment at the Molecular Imaging Center of the University of Torino, Dept. of Molecular Biotechnology and Health Sciences (DBMSS), an interdisciplinary research center dedicated to develop imaging-based approaches for understanding the fundamental biology underlying diseases and for improving diagnosis and monitoring treatment effects in several diseases (cancer, inflammation, diabetes, neurodegeneration and cardiovascular diseases). Our imaging center offers an extraordinary range of services and instrumentations, covering biology, biotechnology, medicine, imaging and image processing/analysis. The Molecular Imaging Center is coordinating the Multi-Modal Molecular Imaging Italian Node (MMMI) of Euro-BioImaging ERIC, the European Research Infrastructure for Imaging Technologies in Biological and Biomedical Sciences that provides open, physical user access to a broad range of state-of-the-art technologies in biological and biomedical imaging for life scientists (https://www.eurobioimaging.eu). It is also involved in Euro-BioImaging coordinating the activities of the Hub section devoted to medical imaging (Med-Hub).

Your role

We are seeking a highly motivated Full-Stack Developer interested in deploying a federated architecture in the cloud to enable discovery and reuse of biomedical image datasets. Key responsibilities will include the development of a cloudified service based on XNAT (https://www.xnat.org/), an open-source imaging informatics platform that is one of the most popular system for data management and widely used by several biomedical imaging centers. The candidate will have key responsibilities in coordinating the work of image datasets management by interacting with the several imaging centers within Euro-BioImaging at both national and European level. The candidate will be strongly involved in the open science process by deploying open-source software components that will provide to European researchers Open Access to both preclinical and clinical images datasets and standardized image processing tools. The successful candidate will join an international lab in a multidisciplinary working environment with access to state-of-the-art technologies covering several imaging modalities. The successful applicant will initially have a 1-year contract, with the possibility of extension. The offered net salary is of 1430€/month.

Requirements

  • MSc in Computer Science, Software Engineering, or relevant field
  • Experience in cloud application deployment
  • Experience in one or more languages (preferably Python) and platforms used for scientific computing
  • Experience in design and development of APIs

Nice to have

  • Familiarity with version control applications (GIT)
  • Familiarity with containerization technology (Docker/Singularity)
  • Familiarity with databases (e.g., PostgreSQL)
  • Commitment to software development best practices, and know how to adapt these to research contexts
  • Linux experience is helpful but not required
  • Previous experience with medical images is considered a plus
  • Demonstrated record of relevant experience as evidenced by training and publications
  • Ability to work both independently and in team and possess a noticeable enthusiasm for research
  • Fluid in spoken and written English

Application process

Interested candidates should send a single PDF file that includes a full curriculum vitae with publications, a short description of previous training and work experiences and the names and contact details of at least one referee (former professor/advisor/mentor) to Dr. Dario Longo via email to: [email protected]

Please indicate “Full-Stack Developer for federated XNAT” in the subject line.

Application deadline: April 20th, 2021