About The Position

We are seeking a highly motivated Associate Scientist to lead and support the analysis of large-scale molecular datasets in a dynamic, collaborative research environment. This role focuses on cutting-edge functional genomics, with an emphasis on single-cell and multi-omic technologies. The Associate Scientist will drive computational analysis of high-dimensional datasets, partnering closely with a well-integrated computational-experimental team to generate biological insights from complex genomic data. The ideal candidate has deep expertise in single-cell transcriptomics and epigenomics, experience handling large-scale datasets, and strong quantitative and programming skills. Experience in machine learning and AI approaches is highly desirable.

Requirements

  • Deep expertise in single-cell transcriptomics and epigenomics.
  • Experience handling large-scale datasets.
  • Strong quantitative skills.
  • Strong programming skills.

Nice To Haves

  • Experience in machine learning and AI approaches.

Responsibilities

  • Lead and support the analysis of large-scale molecular datasets.
  • Drive computational analysis of high-dimensional datasets.
  • Partner closely with a well-integrated computational-experimental team to generate biological insights from complex genomic data.
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