Statistical and Machine Learning Researcher in Genomics

il y a 6 jours


Évry, Île-de-France CEA Temps plein

About the Role

CEA is seeking a highly motivated and talented Statistical and Machine Learning Researcher to join our genomics research team. In this role, you will contribute to cutting-edge research by developing innovative statistical analysis methods and applying machine learning techniques to analyze complex genomic data.

Key Responsibilities

  • Develop advanced multivariate statistical analysis methods for integrative analysis of multi-omics datasets.
  • Identify and interpret highly correlated omics markers associated with specific pathologies, providing valuable insights into disease mechanisms.
  • Contribute to the identification of potential subtypes within a pathology, paving the way for personalized medicine approaches.
  • Enhance disease etiology modeling and contribute to predicting disease progression and treatment efficacy.
  • Collaborate effectively within multidisciplinary teams, demonstrating scientific expertise, rigor, and autonomy in your work.

Qualifications

  • Hold a PhD in mathematics, applied statistics, computational biology, computer science, or a closely related field.
  • Possess significant experience in statistical analysis and machine learning techniques.
  • Demonstrate a strong understanding of genomics, biomedical research principles, and deep learning methodologies.
  • Exhibit fluency in English for effective communication within the team.

Additional Requirements

  • Strong communication and problem-solving skills are essential for success in this role.

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