Statistical and Machine Learning Researcher in Genomics
il y a 6 jours
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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