This role will lead efforts to extract biological insights from various types of next-generation sequencing (NGS) data. Leveraging your deep knowledge of next-generation sequencing analysis, data science tools, and biological expertise, you will drive innovative science to deliver novel therapeutics to patients. The ideal candidate will enjoy working in a collaborative, fast-paced start-up environment, leveraging a high degree of scientific rigor, creativity and innovation.  

Job Responsibilities

  • Build and advance various internal NGS pipelines (e.g. RNAseq, eCLIP, DMS-MaP, etc.) and computational resources to enable therapeutic target selection and program advancement following best practices for software development
  • Identify, internalize, and analyze data from public resources (SRA, TCGA, CCLE, etc.) and the scientific literature
  • Leverage data science tools to analyze and derive insights from high-dimensional datasets
  • Lead projects validating biological hypotheses and subsequently leverage this knowledge to advance and accelerate therapeutic programs
  • Work effectively in a cross-functional capacity with the RNA biology, bioinformatics, assay development and chemistry teams to deliver high-quality results in an efficient manner
  • Record, communicate, and present experimental outcomes effectively across the organization


  • Ph.D. in Bioinformatics, Computational Biology, Computational Sciences or related Biological Science, with proven scientific excellence as evidenced by a strong publication record
  • 3+ years of relevant experience required; industry experience preferred
  • Demonstrated experience in design, execution, and analysis of biological NGS experiments
  • Extensive experience with at least one bioinformatic programming or scripting language (python, R, perl, etc.)
  • Experience applying computational and statistical approaches (e.g. multivariate, Bayesian, and machine learning) to high-dimensional datasets to deliver biological insights 
  • Excellent written and verbal communication skills
  • Experience writing, testing, and maintaining version-controlled software in a cloud-based system is preferred
  • Experience in the field of RNA biology is preferred
  • Exhibits passion and excitement over work. Has a can-do attitude without losing objectivity
  • Adjusts quickly to changing priorities and conditions and copes effectively with complexity and change
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