Junior Research Engineer for Generative AI in Biomedicine (RE1)

Reference: 370_26_LS_MLBR_RE1 Job title: Junior Research Engineer for Generative AI in Biomedicine (RE1)

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, led by Dr. Davide Cirillo, is looking for a Junior Research Engineer with relevant experience to join research projects focusing on synthetic image generation.

The successful candidate will explore and apply Generative AI (GenAI) technologies for the generation and augmentation of synthetic biomedical data, with a primary focus on digital pathology and potentially radiological medical imaging. The objective is to develop novel methods that advance the state of the art in this field.

By leveraging large-scale, heterogeneous datasets and HPC capabilities, the candidate will investigate how synthetic data generation can help improve model robustness and generalizability in precision medicine pipelines.

Key Duties

• Develop and apply generative models (e.g., GANs, diffusion models) to generate synthetic data, which special emphasis on biomedical images.

• Explore the use of synthetic data to enhance machine learning tasks such as patient stratification and disease subtyping.

• Contribute to the design of novel GenAI-driven data augmentation strategies, evaluating the realism, diversity, and downstream utility of generated data using quantitative and domain-specific metrics.

• Collaborate with interdisciplinary teams of bioinformaticians, data scientists, and clinicians to align AI outputs with clinical relevance.

• Contribute to internal meetings and research dissemination efforts.

Requirements

• Education

  • Master in Artificial Intelligence, Computer Science, Bioinformatics, Biomedical Engineering, or a related field.

• Essential Knowledge and Professional Experience

  • Solid understanding of machine learning, especially deep learning and generative models.
  • Experience working with Generative AI methods such as GANs, VAEs, or diffusion models.
  • Familiarity with medical imaging and/or multi-omics data.

• Additional Knowledge and Professional Experience

  • Programming proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
  • Experience with HPC environments and version control tools (e.g., Git).
  • Fluency in spoken and written English.

• Competences

  • Strong problem-solving and critical thinking skills.
  • Ability to work independently and in a team-based, collaborative research environment.
  • Strong communication and documentation skills.

Conditions

• The position will be located at BSC within the Life Sciences Department

• 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

• Duration: Open-ended contract due to technical and scientific activities linked to the project and budget duration

• Holidays: 22 days of holidays + 6 personal days + 24th and 31st of December per our collective agreement

• 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: 01/10/2026

Applications procedure and process

All applications must be submitted via the BSC website and contain:

• A full CV in English including contact details

• 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
• 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. For more information, please follow this link.

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. For more information follow this link