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.
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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, lead by Dr. Davide Cirillo, applies machine learning to biomedical problems generating resources and tools for biomedical research and secondary use of the data. The Unit is focused on providing support in projects related to machine learning spanning several areas of application, including precision medicine, genomics, and systems biology. To achieve extreme scale and high performance of our applications, we account for the use of high-performance computing and the collaboration with specialized groups at BSC.
The Technologies for Biomedical Research Lab (TechBioLab), lead by Dr. Salvador Capella Gutierrez, is part of the Life Sciences Department of the BSC and brings together specialised teams with a focus on developing infrastructures that support Life Sciences research. This includes software components for bioinformatics, research data management – especially in healthcare – and scientific and technical benchmarking of research software in close collaboration with various communities and projects. Special attention is given to technological developments enabling the analysis of sensitive data in federated settings.
The Machine Learning for Biomedical Research Unit and the TechBioLab are looking for a Research Engineer, specialised in web front-end development, to contribute to the development of the online biomedical portal for the SEED-ALS project (PMPER24/00017). SEED-ALS is a national initiative at collecting, integrating, and analyzing multi-omics data related to Amyotrophic Lateral Sclerosis (ALS) to support advanced research and data sharing.
The successful candidate will be responsible for designing and implementing a web-based portal that will:
1. Support browsing and display of biomedical dataset information from external data repositories and archives.
2. Enable interactive visualization and navigation of analysis results and predictive models developed within the project.
3. Facilitate access to the European Genome-Phenome Archive EGA infrastructure for dataset submission and controlled-access data download by researchers.
This role offers the opportunity to work at the intersection of biomedical data science, web development, and high-performance computing, in collaboration with national and international experts in ALS research.
Key Duties
- Develop the SEED-ALS data portal, including front-end and back-end components, according to the project visual identity and the pilot data portal.
- Integrate data access and query functionalities with biomedical data resources such as EGA, Monarch, BioGRID and other ALS sources.
- Implement data visualization tools for summary statistics and machine learning model results.
- Ensure portal usability, scalability, and security following best practices.
- Collaborate with multidisciplinary teams, including bioinformaticians, data scientists, and software engineers.
- Contribute to technical documentation and, where applicable, scientific dissemination.
- Communicate and present results to internal teams and external scientific audiences.
Requirements
- Education
- Bachelor's or Master’s degree in Computer Science, Bioinformatics, Software Engineering, Web and App development or a related field.
- Essential Knowledge and Professional Experience
- At least 1,5 years professional experience with a similar role.
- Proficiency in modern web development frameworks (e.g., React, Angular, Next.js).
- Experience with back-end development (e.g., Node.js, Django, Flask, FastAPI).
- Experience with REST APIs and database technologies (SQL and/or NoSQL).
- Strong programming skills in Python, JavaScript and/or TypeScript.
- Experience with data and graph visualization libraries (e.g., D3.js, Plotly, vis.js, react-force-graph).
- Basic understanding of data formats commonly used in bioinformatics (e.g., VCF, FASTQ, BAM).
- Ability to work collaboratively in a multidisciplinary research environment.
- Additional Knowledge and Professional Experience
- Knowledge of biomedical data repositories, especially EGA and Monarch.
- Interest or background in ALS or multi-omics data.
- Interest in multilayer network graph based approaches.
- Experience with Docker, Git, and CI/CD pipelines.
- Fluency in written and spoken Spanish and English.
- Competences
- Good communication and presentation skills.
- Ability to work both independently and within a team.
- Excellent problem-solving and analytical skills.
Conditions
- The position will be located at BSC within the Life Sciences Department
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We offer a full-time contract (35h/week), a good working environment, a highly stimulating environment with state-of-the-art infrastructure, flexible working hours, extensive training plan, restaurant tickets, private health insurance, support to the relocation procedures
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Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration
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Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement
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Salary: we offer a competitive salary commensurate with the qualifications and experience of the candidate and according to the cost of living in Barcelona
Starting date: 01/08/2026
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Applications procedure and process
All applications must be submitted via the BSC website and contain:
- A full CV in English including contact details
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A cover/motivation letter with a statement of interest in English, clearly specifying for which specific area and topics the applicant wishes to be considered. Additionally, two references for further contacts must be included. Applications without this document will not be considered.
Development of the recruitment process
The selection will be carried out through a competitive examination system ("Concurso-Oposición"). The recruitment process consists of two phases:
- Curriculum Analysis: Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position. - 40 points
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Interview phase: The highest-rated candidates at the curriculum level will be invited to the interview phase, conducted by the corresponding department and Human Resources. In this phase, technical competencies, knowledge, skills, and professional experience related to the position, as well as the required personal competencies, will be evaluated. - 60 points. A minimum of 30 points out of 60 must be obtained to be eligible for the position.
The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
In accordance with OTM-R principles, a gender-balanced recruitment panel is formed for each vacancy at the beginning of the process. After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview. At a minimum, a personality questionnaire as well as a technical exercise will be conducted during the process.
The panel will make a final decision, and all individuals who participated in the interview phase will receive feedback with details on the acceptance or rejection of their profile.
At BSC, we seek continuous improvement in our recruitment processes. For any suggestions or comments/complaints about our recruitment processes, please contact recruitment [at] bsc [dot] es.
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Deadline
The vacancy will remain open until a suitable candidate has been hired. Applications will be regularly reviewed and potential candidates will be contacted.
OTM-R principles for selection processes
BSC-CNS is committed to the principles of the Code of Conduct for the Recruitment of Researchers of the European Commission and the Open, Transparent and Merit-based Recruitment principles (OTM-R). This is applied for any potential candidate in all our processes, for example by creating gender-balanced recruitment panels and recognizing career breaks etc.
BSC-CNS is an equal opportunity employer committed to diversity and inclusion. We are pleased to consider all qualified applicants for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or any other basis protected by applicable state or local law.
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