Python R Machine Learning

Reference: DSGMEG25 Start date: 21/07/2025 0:00:00 Expiration Date: 30/07/2025 23:59:00 The GMEG is seeking a data scientist to contribute to the clinical demonstration of an algorithm that predicts the existence and location of pancreatic cancer...
  • Reference: DSGMEG25
  • Start date: 21/07/2025 0:00:00
  • Expiration Date: 30/07/2025 23:59:00

The GMEG is seeking a data scientist to contribute to the clinical demonstration of an algorithm that predicts the existence and location of pancreatic cancer metastasis. It is intended to be a tool to assist radiologists in evaluating patients with invasive pancreatic tumors and metastatic disease. Thus, this role offers the opportunity to contribute to cutting-edge research aimed at developing innovative AI-based methods for treatment decisions in pancreatic cancer.

CNIO is an international cancer research center of excellence with an active and stimulating working environment, with a multidisciplinary approach to cancer research. The scope of the research carried out by GMEG ranges from identifying aetiological agents and genetic pathways to translating the findings into clinical and public health domains, with a focus on bladder, pancreatic, and breast cancers. To do so, we apply innovative methodology and artificial intelligence (AI) approaches to both hypothesis-driven and agnostic/exploratory analyses to integrate several levels of information, including omics- and image-derived data. Our ultimate goal is to achieve personalized cancer prevention at three distinct levels: reducing cancer incidence, enhancing early detection, and extending the length and quality of life.

Selection Criteria

  • Degree in Computer Engineering/Data science/Health science/ Mathematics/ Statistics, or related field.
  • Knowledge in relational database design, implementation and maintenance.
  • Background knowledge or experience in the field of health care and cancer is advisable.
  • Experience in data cleaning/curation of clinical data.
  • Experience in data mining and AI modeling, including machine learning and deep learning techniques.
  • Experience in medical image-based models is highly valued.
  • Strong skills in programming, particularly in R and Python.
  • Knowledge of database languages such as SQLis highly valuable.
  • Excellent knowledge of English.
  • Good written and verbal communication skills.

The CNIO Offers

  • The opportunity to be part of a Cancer Research Centre of excellence.
  • Competitive salary, according to previous experience.
  • An energetic working environment.
  • Benefits package.
  • Contract linked to a project.

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