About The Position

We are seeking a highly motivated genetic epidemiologist/statistical geneticist to join a growing genomics and precision medicine research program at the Artificial Intelligence and Human Health Department as Bioinformatician III. The candidate will be working under the supervision of Dr. Nathalie Chami. The successful candidate will lead and support analyses of large-scale genomic, proteomic, multi-omics, and longitudinal clinical datasets, applying advanced statistical genetics, bioinformatics, machine learning, and AI approaches to uncover the biological basis of complex disease and rare disorders. This role offers the opportunity to drive independent research projects, contribute to high-impact publications and grants, and collaborate closely with a multidisciplinary team at the forefront of human genetics and precision medicine.

Requirements

  • Genetic epidemiologist/statistical geneticist background.
  • Experience with large-scale genomic, proteomic, multi-omics, and longitudinal clinical datasets.
  • Proficiency in advanced statistical genetics, bioinformatics, machine learning, and AI approaches.

Responsibilities

  • Lead and support analyses of large-scale genomic, proteomic, multi-omics, and longitudinal clinical datasets.
  • Apply advanced statistical genetics, bioinformatics, machine learning, and AI approaches to uncover the biological basis of complex disease and rare disorders.
  • Drive independent research projects.
  • Contribute to high-impact publications and grants.
  • Collaborate closely with a multidisciplinary team at the forefront of human genetics and precision medicine.
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