About The Position

We are seeking a Research Data Analyst computational biologist to lead transcriptomics analysis on research projects investigating breast cancer metastasis and infectious disease. The candidate will independently conduct end-to-end analysis of multi-omics datasets, including single-cell RNA-seq, bulk RNA-seq, and spatial RNA-seq data. Key responsibilities include expression matrix processing, quality control, normalization, differential expression testing with statistical corrections, pathway enrichment analysis, clustering, and publication-quality visualization. The candidate will collaborate with wet-lab teams and contribute to manuscript and grant preparation. Ideal candidates will be detail-oriented, scientifically curious, and able to work independently.

Requirements

  • Bachelor's Degree
  • 1-3 years experience

Nice To Haves

  • Master's Degree
  • Data Sciences
  • detail-oriented
  • scientifically curious
  • able to work independently

Responsibilities

  • Lead transcriptomics analysis on research projects investigating breast cancer metastasis and infectious disease.
  • Independently conduct end-to-end analysis of multi-omics datasets, including single-cell RNA-seq, bulk RNA-seq, and spatial RNA-seq data.
  • Expression matrix processing, quality control, normalization, differential expression testing with statistical corrections, pathway enrichment analysis, clustering, and publication-quality visualization.
  • Collaborate with wet-lab teams.
  • Contribute to manuscript and grant preparation.
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