Postdoc in Biomedical Image Analyses and Artificial Intelligence

The Barcelona Institute for Global Health (ISGlobal) is a cutting-edge institute addressing global public health challenges through research, translation into policy and education. ISGlobal has a broad portfolio in communicable and non-communicable diseases including environmental and climate determinants, and applies a multidisciplinary scientific approach ranging from the molecular to the population level. Research is organized in the following main areas, Malaria and other Infectious Diseases,  Maternal, Child and reproductive Health, Urban Health and environmental health, Climate & Non-Communicable Diseases.  ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

Barcelona

ISGlobal is seeking a motivated postdoctoral researcher to join the Biomedical Data Science Research Group of Dr. Paula Petrone at ISGlobal, created in the framework of the Severo Ochoa Program, with the vision of leveraging data analytics and artificial intelligence to improve health care outcomes. This is a unique opportunity for a motivated data scientist to contribute to the digital transformation of biomedicine and carry out research that has social impact and responds to unmet medical needs.

The postdoctoral researcher will develop novel research that applies advanced computer vision, spatial statistics, machine learning and deep learning to various different imaging modalities. An ambition of this team is to implement predictive modelling as well as explainable AI methods to understand disease drivers leading to early disease diagnosis and the discovery of novel digital biomarkers.

Previous experience in the computer vision or deep learning fields is highly desirable. Interest is additionally expressed for candidates with demonstrated experience in the biomedical field.

As part of the Biomedical Data Science Team, the selected candidate will have the opportunity to work in a highly multidisciplinary environment, working closely with computational, experimental and clinical collaborators in a creative, challenging and entrepreneurial environment. ISGlobal offers training workshops where the postdoctoral fellow will be able to develop technical and interpersonal skills which are important for a successful career. The Biomedical Data Science Team fosters team diversity and encourages the application of candidates from different backgrounds and genders.

This position will be supported by funding from the “Centro de Excelencia Severo Ochoa 2019-2023” Program (CEX 2018-000806-S) from the Spanish Ministry of Science and Innovation, and the Spanish Research State Agency.

• Development of computer vision & deep learning algorithms to augment clinical decision-making and guide the development of new therapies and diagnostics.
• Carry out high-quality research independently.
• Help develop robust model training and data infrastructure to support collaborative data science projects at ISGlobal.
• Publish research results in scientific journals and in national and international conferences.

This job description reflects the present requirements of the post but may evolve at any time in the future as duties and responsibilities change and/or develop providing there is appropriate consultation with the post-holder. 

This job description is not a definitive or exhaustive list of responsibilities but identifies the key responsibilities and tasks of the post holder. The specific objectives of the post holder will be subject to review as part of the individual professional assessment  process.