Barcelona Institute for Global Health
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.
Location:
Barcelona
What We Are Looking for
ISGlobal is seeking a motivated student 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 doctoral candidate 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 modeling 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 predoctoral student 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 through the competitive call Ayudas para contratos predoctorales para la formación de doctores 2022 (SO-FPI-2022 fellowships) from the Spanish Ministry of Science and Innovation, and the Spanish Research State Agency.
Field research
- Computer science
- Bioengineering
- Mathematics
- Medical sciences
- Neurosciences
Training and experience /Qualifications
Candidates are expected to:
- Have a completed, or close to completion, Master Degree with strong analytics expertise in any of the following areas: Biomedical Sciences, Computer Science, Engineering, Mathematics, Statistics, Physics or related fields with focus on computer vision and image analyses. Additional profiles will be considered if highly motivated researchers in other related disciplines decide to apply
- Programming experience in one or more general purpose programming language: Python, R, Scala
- Experience using one of the following deep learning libraries: Tensorflow, PyTorch or similar is desirable
- Be willing to work in an interdisciplinary team within a highly collaborative research institute
- Be fluent in spoken and written English
Key Responsibilities
Development of machine learning algorithms to augment clinical decision-making and guide the development of new therapies and diagnostics. Carry out high-quality research. Publish research results in scientific journals and in national and international conferences.
Conditions
- Duration: 4 years
- Starting date: Summer 2023
- Contract: Full Time
- Salary Range: Gross annual salari 19.229 €
- During the crisis caused by COVID19, standard working conditions will be adapted to sanitary requirements.
Eligibility
Candidates must have obtained a University Degree and a Master’s Degree within the European Higher Education Area (minimum 300 ECTS, of which at least 60 are at master’s level), or an equivalent University Degree that allows to start a PhD thesis in Spain by the fellowship starting date (please note that each candidate will be assessed for eligibility on individual basis by the corresponding PhD programme following University admission criteria Do not have a PhD Not already a beneficiary of a PhD Fellowship by the Spanish Government
Selection Process
The candidate will meet with the PI via a zoom meeting to assess technical and soft skills.
If needed, any technical test could be passed. A Psychological Competency Evaluation Test will be required for the structural or transversal positions.
In accordance with the OTM-R principles, a gender-balanced recruitment panel is formed for every vacancy at the beginning of the process. After reviewing the content of the applications, the panel will start the interviews, with at least one technical and one administrative interview. A profile questionnaire as well as a technical exercise may be required during the process.
How to apply
Applicants must fill in the request form and include the following code reference position: PhD_BiomedicalDataScience_July22, attach the CV and a Cover Letter. Each attached document must be named with the candidate name and surname. The receipt of applications will be open until July 15th.
Only the applications submitted through the request form will be considered.
Only shortlisted candidates will be contacted.
Interviews will be conducted on a rolling basis until a candidate is selected.
Please contact [email protected] for questions about this position.
Diverse candidacies are welcome, that includes: gender, race, ethnicity, religion, age, sexual orientation, physical abilities, and political views.