Machine Learning 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.

  • Work alongside bioinformaticians, computational biologists, engineers, and biologists in a highly collaborative environment.

  • Learn existing biological databases and how we can leverage them into our platform.

  • Analyze, improve, and maintain relational databases.

  • Develop and maintain high quality revision controlled code.

  • Build docker images for complicated tasks.


  • A strong publication record including peer-reviewed AI conferences such as ACL, CVPR, ICCV, ICLR, ICML, or NIPS.

  • A degree in Computational Science or related discipline with a focus on machine learning.

  • Up to date with cutting edge approaches and technologies in Deep learning.

  • Familiar with predictive modeling/statistical concepts: multi-scalar dimensional models, neural networks, logistic regression, etc.

  • Experience building/developing deep learning software.

  • Creative and adaptive. Must be able to critically think and leverage new technologies.

  • Ready to work in a multi-disciplinary team projects.

  • Clear, consistent, and open communication is a must.

  • Talented, highly motivated, and self-driven.

  • In-depth understanding of data structure.

  • Proficiency in Python, R, Docker, Github, and Linux environments.

  • Experience with cloud computing platforms such as AWS, GCP, or Azure.

  • Basic understanding of Biology. Understanding of Genomics/Microbiome a plus.


  • Competitive salary, top benefits, and stock options.

To Apply

Please send the following materials to

  • Brief self intro and interest

  • Resume

  • References

© 2020 by DeepBiome Therapeutics Inc.

One Kendall Square, Cambridge, MA 02139, USA