Junior Research Engineer For Generative Ai In Biomedicine (Re1) (Madrid)

Junior Research Engineer For Generative Ai In Biomedicine (Re1) (Madrid)

11 sep
|
Barcelona Supercomputing Center
|
Madrid

11 sep

Barcelona Supercomputing Center

Madrid

Position Junior Research Engineer for Generative AI in Biomedicine (RE1)
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 **** staff from 60 countries.
Look At The BSC Experience BSC-CNS YouTube Channel
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.
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.




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.
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.
Master in Artificial Intelligence, Computer Science, Bioinformatics, Biomedical Engineering, or a related field.
Solid understanding of machine learning, especially deep learning and generative models.
Familiarity with medical imaging and/or multi-omics data.




Programming proficiency in Python and deep learning frameworks such as PyTorch or TensorFlow.
Experience with HPC environments and version control tools (e.g., Fluency in spoken and written English.
Ability to work independently and in a team-based, collaborative research environment.
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, versátil 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
Evaluation of previous experience and/or scientific history, degree, training, and other professional information relevant to the position.

~The recruitment panel will be composed of at least three people, ensuring at least 25% representation of women.
After reviewing the content of the applications, the panel will begin the interviews, with at least one technical and one administrative interview.
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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📌 Junior Research Engineer For Generative Ai In Biomedicine (Re1) (Madrid)
🏢 Barcelona Supercomputing Center
📍 Madrid

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