Bioinformatics Software Engineer

At eGenesis, we aspire to deliver safe and effective human transplantable cells, tissue and organs utilizing the latest advancements in genome editing.

We are seeking a skilled Bioinformatics software engineer to join our thriving computational biology team. In this role, you will lead development of reproducible and automated workflows for various Next Generation Sequencing (NGS) datasets including, but not limited to, RNAseq, scRNAseq, WGS, WGBS, and ATACseq. In addition, you will assist with optimizing cloud computing infrastructures including compute, data organization, and storage. This is an opportunity to contribute to cutting-edge science, bridging computational biology, gene-editing, and immunology. To be successful in this role, you should enjoy problem solving, working with novel technologies, and be a team player. By leading the development of scalable and reproducible workflows within the company, you will have an opportunity to contribute to our goal of solving the organ shortage crisis by xeno-transplantation of pig organs and tissues into humans.

PRIMARY RESPONSIBILITIES

• • Work closely with members of the Computational Biology team to create reproducible and scalable workflows
  • Curate and organize various molecular data from historical sequencing runs
  • Create visualization solutions for curated high-dimensional NGS datasets that would allow cross-functional discoveries
  • Assist with integrating different data modalities including clinical datasets for novel discovery
  • Ensure data quality through data curation, standardization, and harmonization
  • Setup optimized computing infrastructure including compute and storage environments
  • Create automated pipelines that enable rapid decisions based on high-throughput analyses
  • Ensure regulatory compliance of data structures and workflows

BASIC QUALIFICATIONS

• • MS in Bioinformatics, Computational Biology, or related field with at least 5 years of relevant experience
  • Experience in utilizing programming languages, such as Python/R/Java/C++ as well as bioinformatics pipeline development
  • Working knowledge of data visualization tools such as Shiny and/or Dash
  • Working knowledge of genomics and bioinformatic data analysis methods
  • Working knowledge of application and data security concepts
  • Working knowledge of AWS cloud computing infrastructure
  • Ability to communicate complex technical information to stakeholders in cross-functional teams
  • Experience with various DNA sequencing technologies, including short- and long-read sequencing (Illumina, Nanopore, PacBio)
  • Experience with SevenBridges platform and Nextflow is a plus