Single-Cell RNA-Sequencing Bioinformatics Consultant (Remote)

Responsibilities

  • Work closely with the Head of Business Development and/or directly with clients to understand their research goals
  • Work with the Head of Business Development to draft a Statement of Work (SOW) that details your recommended analysis and the completion criteria as discussed with our client
  • Lead and execute end-to-end, single-cell sequencing data analysis, from pre-processing to advanced downstream analysis, for diverse client projects across a wide variety of domains in genomics and bioinformatics, within the time estimates you quoted during the SOW phase
  • Data type examples include scRNA-seq, DNAseq, bulk RNAseq, MicroArray, GWAS, WES
  • Build and refine custom script-based pipelines for single-cell data analysis, utilizing industry best practices and tools
  • Present analysis results via scientific reports and presentations to external stakeholders
  • Deliver and install pipeline code for future utility
  • You may be asked to assist with the maintenance of and improvements to existing client genomic/transcriptomic pipelines, bioinformatics tools, and related software and systems
  • You may be asked to support projects involving bulk sequencing data processing, analysis, and tool building

Required Skills

  • PhD or equivalent in Bioinformatics, Computational Biology, or a related discipline with a strong focus on single-cell genomics.
  • Experience at the bench is preferred
  • Extensive experience in single-cell data analysis, demonstrated through publications, projects, or industry work
  • Ability to clearly articulate complex scientific concepts to diverse audiences – most of which aren’t familiar with scRNA seq – and work effectively in a team environment
  • Ability to forecast the number of hours each sub-task in an analysis will likely require

Qualifications

  • Demonstrated experience in single-cell RNAseq data preprocessing, processing, analysis, and visualization
  • Demonstrated experience in bulk RNAseq data preprocessing, processing, analysis and visualization
  • Demonstrated experience and confidence in writing code in Python or R
  • Demonstrated experience in using cloud platforms (one of the following: AWS, GCP, Azure)
  • Demonstrated experience in using containerization platforms ( ex – Docker)
  • Demonstrated experience in workflow/pipeline management systems (ex – SnakeMake, NextFlow)

Benefits

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