Part-time Academic Research Staff for the Single-Cell Omics Platform

This part-time academic research position for the Single-Cell Omics Platform requires familiarity with single-cell omics technologies and methodologies. Candidates should possess a solid understanding of molecular biology techniques, including but not limited to single-cell RNA sequencing, single-cell ATAC-seq, or other single-cell multi-omics approaches. Experience with sample preparation, library construction, and sequencing technologies is essential. Proficiency in data analysis tools and bioinformatics software relevant to single-cell data, such as R, Python, Seurat, or Scanpy, is highly advantageous. The role likely demands the ability to manage and interpret complex datasets, perform quality control, and contribute to experimental design and optimization. Strong analytical skills, attention to detail, and the ability to work collaboratively in a multidisciplinary research environment are important. While specific experience and education levels are not provided, candidates with backgrounds in molecular biology, genomics, bioinformatics, or related life sciences fields would be well-suited. Prior experience in academic research settings and familiarity with laboratory best practices and safety standards would further support successful performance in this role.