• Partner with the beta islet group to design studies, answer biological questions and analyze cell differentiation data.
• Derive insights from transcriptomic and other omics datasets, including scRNA-seq, bulk RNA-seq, and snRNA-seq that enable therapeutic development
• Communicate to a broad audience with a range of technical, analytical, and biological expertise and present results at group meetings
• Collaborate with Computational Biology and Computational Engineering groups to provide reproducible, tested, and robust analyses

What we’re looking for

• • D. in computational biology, genetics, bioinformatics, statistics, or related discipline with 5+ years of industry or relevant academic experience, or M.Sc. with 10+ years or equivalent combination of education/work experience
  • Domain experience in stem cell differentiation and engraftment experiments, especially islet beta cells or other endocrine cell lineages
  • Knowledge of mammalian cell differentiation and methods to assess purity and stability of iPSC generated cell lines
  • Proficiency in Python and R, Unix/Linux, and HPC systems; familiarity with testing frameworks for assuring code correctness
  • Strong scientific background including an understanding of molecular biology, cell biology, and genomics resources

What will separate you from the crowd 

• Expertise in generating testable hypotheses from large omics datasets
• Demonstrated skill in existing single-cell analysis tools such as Seurat, Scanpy, Slingshot, or Monocle for trajectory inference and cell cycle regression
• Knowledge of workflow languages (Nextflow, CWL) and demonstrated ability to transition analyses into modules/library code for general use in pipelines

What you should know

• The base pay range for this position at commencement of employment is expected to be between $175,000 and $205,000/year; however, base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience