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 five programs: Climate, Air Pollution, Nature and Urban Health; Environment and Health over the Lifecourse; Global Viral and Bacterial Infections; Malaria and Neglected Parasitic Diseases and Maternal Child and Reproductive Health. ISGlobal is accredited with the Severo Ochoa distinction, a seal of excellence of the Spanish Science Ministry.

WHAT WE ARE LOOKING FOR

ISGlobal is seeking a motivated data scientist 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 researcher will develop novel research that applies advanced data science, machine learning and deep learning to various different data 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 in the context of chronic liver disease for the LIVERAIM project.

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

KEY RESPONSIBILITIES

• Development of machine learning & 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.

AUXILIAR TASKS

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.

SKILLS

• Teamwork.
• Problem resolution.
• Learning capacity.
• Previous experience in project management.

The post holder will adhere to ISGlobal principles contained in People management policy, including Equity, diversity and health safety. The post holder will respect, and be accountable to ensure ISGlobal policies and procedures.

TRAINING AND EXPERIENCE / QUALIFICATIONS

• Have a completed, or close to completion, PhD with strong analytics expertise in any of the following areas: Biomedical Sciences, Computer Science, Engineering, Mathematics, Statistics, Physics or related fields. Additional profiles will be considered if highly motivated researchers in other related disciplines decide to apply
• Experience developing algorithms or building data solutions, and integrating and managing datasets from multiple sources
• Solid programming experience in one or more general purpose programming language: Python, R, Scala
• Hands-on experience using one of the following deep learning libraries: Tensorflow, PyTorch or similar is desirable
• Having first-authored publications in peer-reviewed journals is desirable
  Be willing to work in an interdisciplinary team within a highly collaborative research institute
• Be fluent in spoken and written English
• Be willing to apply to individual fellowships to become and independent researcher and define new own lines of research

LANGUAGE LEVEL

• Proficiency in English, and Spanish.

CONDITIONS

• Duration: 3 months
• Starting date: Immediately
• Contract Type: Full time
• Salary: According to ISGlobal internal salary scale

HOW TO APPLY

Applicants must fill in the request form and 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 2nd of Octuber 2025.

The interviews could be placed during the reception of candidatures period.

Diverse candidatures are encouraged, that includes: gender, race, ethnicity, religion, age, sexual orientation, physical abilities, and political views.

SELECTION PROCESS

The selection process is designed in two phases:
1- Interview phase of a technical nature, with the team that requires the incorporation. To assess the person's skills and CV.
2 - Meeting with HR with the finalist(s) to finish assessing the profile and discuss contractual and institutional issues.

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.

In ISGlobal we are committed to maintaining and developing a work environment in which the values and principles of our organization are respected and equal opportunities between women and men be promoted in each of the areas in which we operate, not tolerating discrimination based on criteria such as age, gender, marital status, race, ethnicity, functional diversity, political leanings, religion, sexual orientation, gender identity or gender expression.

We confirm our commitment towards the value of the diversity of our staff and student population and seek to promote peace, equity, diversity and inclusion as essential elements in contribution to improving health worldwide.