Senior Computational Biologist


Cambridge, MA, US
  • Job Type: Full-Time
  • Function: Life Sciences R&D/Engineering
  • Post Date: 02/16/2021
  • Website:
  • Company Address: 88 Beacon Street, Apt 54, Somerville, MA, 02143

About eGenesis

eGenesis is a life sciences company focused on development and commercialization of engineered organisms for the benefit of human health. The company's technology is based on the next-generation genome engineering tool set, CRISPR. eGenesis' team of scientists and advisers include world recognized leaders in the field of genome engineering and regenerative medicine.

Job Description

eGenesis seeks a highly motivated and scientifically inspired computational biologist to collaborate in the design and analysis of gene-editing experiments and results, toward the goal of solving the organ transplant shortage by xeno-transplantation of pig organs and tissues into humans.  


  • Use computational methods, and use existing methods, to analyze animal tissues and cell lines to assist in design and assessment of gene-editing experiments.
  • Perform multi-modal analysis of DNA, RNA, single-cell, ATACseq and methylation data, from multiple sequencing platforms, to identify SNPs, structural variants, copy number variants, alternative splicing, fusions, methylation and open chromatin regions. 
  • Use these multi-modal genomic results, in conjunction with health data from pre-clinical experiments to help in iterative design, validation, and assessment of our gene-editing experiments.  We expect this work to progress to analysis of clinical results as well.
  • Assist in CRISPR gRNA design for single targets and multiple targets.
  • Work closely with gene-editing and immunology teams on design of experiments and analysis of data.
  • Communicate our results both internally and to a broad scientific audience.
  • Keep abreast of emerging methods in computational biology/bioinformatics and leverage innovative opportunities.


  • PhD in Bioinformatics, Computational Biology or related field, or equivalent experience, with at least 5 years of post-doctoral experience and a strong publication record
  • Experience working with high dimensional ‘omics datasets; experience integrating ‘omics and medical data a plus
  • Experience with DNA, RNA, single-cell and epigenetic data important
  • Experience in the development and application of statistical/machine learning methods to the analysis of diverse biological and clinical datasets
  • Strong problem-solving skills
  • Experience in utilizing Python and R programming languages as well as bioinformatics pipeline development
  • Strong collaboration skills
  • Strong oral and written communication skills


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Disclaimer: Local Candidates Only
This company does NOT accept candidates from outside recruiting firms. Agency contacts are not welcome.