Responsibilities Build and reinforce the computational framework for processing various metagenomics projects with indications in human health Build, maintain, and expand a machine learning pipeline to take insights from biologists and chemists from the identification of relevant pathways in metagenomes to the discovery of compounds using LC-MS/MS Develop machine learning algorithms to replace old pieces of processing pipeline Understand the scale of publicly available data and leverage those data to solve novel problems through discussion with wet lab scientists Develop and maintain a code base and an image repository for analyzing biological data Develop and maintain critical full-stack computational architecture to support peta-scale machine learning development Qualifications 4+ year experience in Bioinformatics, Computer Science, Statistics, or relevant field with equivalent experience Talented, highly motivated, and self-driven. Understanding of microbial systems, experience with large scale biological data is a plus. In-depth understanding of data structure and machine learning. Proficiency in Python, Docker, Github, and Linux environments. Experience with cloud computing platforms such as AWS, GCP, or Azure. A proven record of innovative algorithm development. A proven record of scientific advances leading to high quality publications. Intangibles Competitive salary and equity share. To Apply Please send the following materials to apply@deepbiometherapeutics.com Brief self intro and interest Resume References
