Computational Scientist

Location: Kendall Square, Cambridge, MA, USA | Full time


  • 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


  • 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.


  • Competitive salary and equity share.

To Apply

Please send the following materials to

  • Brief self intro and interest

  • Resume

  • References