Bioinformatics Engineer II (Remote/Brazil)
Location
Remote, Remote
Job Type
Full-time
Category
Other-General
Posted
June 19, 2026
WHO WE ARE
Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.
Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.
THE PRODUCT
We’ve built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningfu...
Parse Biosciences is a global life sciences company whose mission is to accelerate progress in human health and scientific research. Empowering researchers to perform single cell sequencing with unprecedented scale and ease, our pioneering approach has enabled groundbreaking discoveries in cancer treatment, tissue repair, stem cell therapy, kidney and liver disease, brain development, and the immune system.
Founded based on a transformative technology invented at the University of Washington, Seattle-based Parse has raised over $100 million and is used by over 3,000 labs across the world. Our growing portfolio of products includes Evercode Whole Transcriptome, Evercode TCR, BCR, Gene Capture, and Trailmaker, a software tool for data analysis.
THE PRODUCT
We’ve built the most popular, freely available cloud-based platform for single cell RNA sequencing data analysis - Trailmaker. Trailmaker allows anyone to easily turn their single cell datasets into meaningfu...