Reference: 51726 LSMLBR R2

Job title: Postdoctoral researcher Machine learning for Biomedical Research (R2)

About BSC

The Barcelona Supercomputing Center - Centro Nacional de Supercomputación (BSC-CNS) is the leading supercomputing center in Spain. It houses MareNostrum, one of the most powerful supercomputers in Europe, was a founding and hosting member of the former European HPC infrastructure PRACE (Partnership for Advanced Computing in Europe), and is now hosting entity for EuroHPC JU, the Joint Undertaking that leads large-scale investments and HPC provision in Europe. The mission of BSC is to research, develop and manage information technologies in order to facilitate scientific progress. BSC combines HPC service provision and R&D; into both computer and computational science (life, earth and engineering sciences) under one roof, and currently has over 1000 staff from 60 countries. Look at the BSC experience: BSC-CNS YouTube Channel Let's stay connected with BSC Folks We are particularly interested for this role in the strengths and lived experiences of women and underrepresented groups to help us avoid perpetuating biases and oversights in science and IT research. In instances of equal merit, the incorporation of the under-represented sex will be favoured. We promote Equity, Diversity and Inclusion, fostering an environment where each and every one of us is appreciated for who we are, regardless of our differences. If you consider that you do not meet all the requirements, we encourage you to continue applying for the job offer. We value diversity of experiences and skills, and you could bring unique perspectives to our team.

Context And Mission

The Machine Learning for Biomedical Research unit,



led by Davide Cirillo, PhD, is looking for a postdoctoral researcher for the development of computational tools for the development of AI-based synthetic data generation tools for application in rare diseases and precision medicine. The successful candidate will join a dynamic research group within the Life Sciences department, which integrates independent senior scientists that work on various aspects of computational biology and bioinformatics. The candidate will work in a highly sophisticated HPC environment, will have access to systems and computational infrastructures, and will establish collaborations with experts in different areas. The work will be carried out at the Machine Learning for Biomedical Research Unit in collaboration with the Computational Biology group, led by Prof. Alfonso Valencia, at BSC Life Sciences Department. The specific candidate’s tasks will involve the development and application of Generative AI approaches with applications to rare diseases and precision medicine. As such, this job position will be in close relationship with researchers and research projects in a highly specialised academic environment.

Key Duties

- Conduct innovative research on Generative AI approaches for rare diseases and precision medicine.
- Develop computational tools for synthetic data generation,



especially omics data.
- Utilize the high-performance computing (HPC) environment for efficient data analysis and apply computational tools to analyze large-scale biological datasets.
- Oversee and mentor students, offering comprehensive guidance and advice within the BSC research environment.

Requirements

- Education
- PhD in a relevant field such as bioinformatics, computational biology, computer science, or a related discipline.
- Essential Knowledge and Professional Experience
- Expertise in machine learning and AI, particularly in the context of rare diseases and precision medicine.
- Proven experience in handling and analyzing large-scale biological datasets.
- Proficiency in programming languages commonly used in bioinformatics and computational biology, such as Python, R, or similar.
- Previous experience working in a high-performance computing (HPC) environment.
- A track record of publications in reputable peer-reviewed journals demonstrating research accomplishments in relevant areas.
- Additional Knowledge and Professional Experience
- Familiarity with collaborative research environments and experience in interdisciplinary research projects.
- Previous exposure to projects involving the integration of different omics data in the context of biomedical research.
- Experience in the development of software tools for the scientific community.
- Knowledge of rare disease research and precision medicine initiatives.
- Participation in international collaborations, conferences, or workshops related to the field.
- Competences
- Strong analytical and problem-solving skills.

📌 Postdoctoral researcher Machine learning for Biomedical Research (Barcelona)
🏢 Barcelona Supercomputing Center
📍 Barcelona