Junior Research Engineer for Generative AI in Biomedicine (RE1)

Responsibilities

• check_circle Develop and apply generative models (e.g., GANs, diffusion models) to generate synthetic data, which special emphasis on biomedical images.
• check_circle Explore the use of synthetic data to enhance machine learning tasks such as patient stratification and disease subtyping.
• check_circle 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.
• check_circle Collaborate with interdisciplinary teams of bioinformaticians, data scientists, and clinicians to align AI outputs with clinical relevance.
• check_circle Contribute to internal meetings and research dissemination efforts.

Basic qualifications

• Education Master in Artificial Intelligence, Computer Science, Bioinformatics, Biomedical Engineering, or a related field.
• 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.
• 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.
• 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.
• Strong problem-solving and critical thinking skills.
• Ability to work independently and in a team-based, collaborative research environment.
• Strong communication and documentation skills.
• 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
• 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.
• 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.

About the company