Reference: AIPREGM28
Start date: 19/10/2026
Expiration Date: 28/10/2026 23:59:00
Description
The GMEG is looking for a statistician/mathematician to join a project to build an AI-based algorithm that identifies high-risk PDAC individuals by leveraging advanced AI techniques, such as foundation models. It is intended to integrate large-scale exposome and life-course epidemiological data. This role offers the opportunity to contribute to cutting-edge research developing innovative AI-based methods to support early detection of pancreatic cancer.
CNIO is an international cancer research center of excellence with an active and stimulating working environment and a multidisciplinary approach to cancer research. GMEG’s research spans identifying aetiological agents and genetic pathways to translating findings into clinical and public health applications, focusing on bladder, pancreatic, and breast cancers. To do so, we apply innovative methodologies and artificial intelligence (AI) approaches to both hypothesis-driven and agnostic/exploratory analyses, integrating multiple levels of information, including omics- and image-derived data. Our ultimate goal is to achieve personalized cancer prevention at three levels: reducing cancer incidence, improving early detection, and increasing life expectancy and quality of life.
Selection Criteria
• Degree in Statistics/Mathematics/Data Science.
• Experience in statistical analysis and data modeling.
• Experience in Deep Learning models.
• Experience in data mining, omics data, and image analysis will be positively evaluated.
• Background knowledge or experience in the field of health care and cancer is advisable.
• R/Python programming.
• Proven ability to organize research activities and to write scientific papers.
• Good written and verbal communication skills.
• Excellent knowledge of English.
The CNIO Offers
– Joining an internationally renowned Research Centre.
– Gross annual salary between €19,475 and €25,615.
– Social benefits. Flexible compensation (health insurance, meals, transport, childcare).
– Contract linked to a project.
Applications
Applicants should send their applications by e-mail to empleo@cnio.es, clearly quoting the Reference: AIPREGM28 in the subject line of the e-mail. Applications and resumes without a reference will not be considered.
Spanish National Cancer Research Centre (CNIO) data protection policy
Basic information about data protection
Pursuant to the provisions of EU Regulation 2016/679 regarding the protection of personal data (GDPR), any personal data you provide us with through this employment offer will be duly recorded and incorporated into the data processing systems managed by the Spanish National Cancer Research Centre Foundation (F.S.P CNIO) in order to register and manage your participation in the corresponding selection process. Furthermore, your personal information will not be passed onto anyone else except when required by law, and it will also not be used for any other purpose than the one indicated here. You may exercise your rights regarding access, rectification, suppression, limitation of processing, portability and opposition by writing to the following address: c/Melchor Fernandez Almagro 3, 28029 (Madrid), addressing your correspondence to the Delegado de Protección de Datos, or by emailing: delegado_lopd@cnio.es
If you require further information about the processing of your personal data, go to the following link on our webpage: https://www.cnio.es/politica-de-privacidad-y-proteccion-de-datos/