Proactively investigate "first-in-kind" technical challenges in novel sequencing prep and applications on the new SBX platform
Design and prototype computational tools for cutting-edge applications where standard pipelines may not apply
Be eager to delve into internal and third-party tools to understand their assumptions and limits
Develop a deep understanding of the interplay between reagent chemistry and data quality to recommend iterative improvements for laboratory workflows and bioinformatics pipelines
Collaborate closely with wet lab and computational scientists on experimental design, data analysis, QC, and visualization, ensuring high-quality results are communicated clearly across the team
Requirements
Ph.D. in Bioinformatics, Computational Biology, or a related quantitative field
In-depth knowledge of NGS, molecular biology, human genomics, and the "why" behind various sequencing modalities
Expertise in diverse NGS applications including single cell, spatial transcriptomics, NGS based proteomics preferred
Proficiency in Python and workflow managers (Nextflow or Snakemake) within distributed Linux environments, with experience producing well-documented, reproducible code
Strong desire to solve unprecedented problems and a commitment to scientific rigor, ensuring routine QC and data tasks are completed with seamless precision
Ability to thrive in multi-disciplinary teams and communicate technical findings to audiences of varying technical backgrounds
Tech Stack
Linux
Python
Benefits
A discretionary annual bonus may be available based on individual and Company performance