COMPANY MISSION At eGenesis, we aspire to deliver safe and effective human transplantable cells, tissue and organs utilizing the latest advancements in genome editing. POSITION SUMMARY eGenesis is seeking a highly skilled and motivated Scientist I, Computational Biology, to join our team of scientists in advancing our mission to make xenotransplantation a reality. The ideal candidate will have a robust background in gene editing, genomics and a demonstrated ability to analyze diverse NGS datasets including short- and long-read sequencing technologies (Illumina, PacBio, Nanopore). This individual will play a crucial role providing insights into gene edited product and contributing to our overall development efforts. The ideal candidate should be exceptionally detail-oriented, with strong analytical skills, ensuring high standards of accuracy and efficiency in a dynamic, results-oriented environment. This role offers a unique opportunity to gain experience in a Good Manufacturing Practices (GMP) setting and to be at the forefront of pioneering xenotransplantation. PRIMARY RESPONSIBILITIES

Conduct on-target and off-target data analysis and interpretation
Visualization of genomics, transcriptomics, and epigenomics datasets
Collaborate with cross-functional teams of scientists to design and execute experiments, integrate computational methods into development projects, and provide data-driven insights
Assist in data organization, management, and maintenance to ensure data integrity
Stay updated on the latest advancements in computational biology and genomics to implement best practices

QUALIFICATIONS

A master's degree with 2-3 years of experience in bioinformatics, computational biology, engineering, computer science, or a related quantitative field
A strong ability to program with bash, R and Python
Hands-on experience with WGS and/or WES data analysis, variant calling including small variants and complex structural variants
Experience with assay development and quality control environments is preferred
Strong organization skills and meticulous attention to detail
Maintain accurate, up-to-date documentation of work and code
Experience with AWS cloud computing, GitHub, Benchling and/or SevenBridges data analysis platform is a plus
Knowledge of molecular biology and gene editing is preferred
Strong oral and written communication skills

eGenesis, Inc.

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Scientist I, Computational Biology