Predoctoral Research Assistant for the Genetic & Molecular Epidemiology Group

CNIO - Spanish National Cancer Research Centre; Madrid; Presencial; EUR 19.000 - 26.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Health insurance

Meals

Transport

Childcare

Flexible compensation

Descripción de la vacante

CNIO - Spanish National Cancer Research Centre seeks a statistician/mathematician to join a project building an AI-based algorithm for identifying high-risk PDAC individuals using large-scale exposome and life-course data. The role involves integrating advanced AI techniques and multidisciplinary data to advance early cancer detection.

CNIO offers an international research environment with flexible compensation options and a project-linked contract.

Formación

• Degree in statistics, mathematics or data science.
• Experience in statistical analysis and data modeling required.
• Experience with deep learning models preferred.
• Experience with data mining, omics data or image analysis is a plus.
• Background in health care or cancer is advantageous.
• Proficiency in R and Python programming.
• Ability to organize research activities and publish papers.
• Strong written and verbal English communication.

Conocimientos

Statistical analysis

Data modeling

Deep learning

R/Python programming

Scientific writing

English proficiency

Communication skills

Educación

Statistics/Math/Data Science degree

Herramientas

None

Descripción del empleo

• Reference: AIPREGM28
• Start date: 19/10/2026 0:00:00
• Expiration Date: 28/10/2026 23:59:00

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.