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.

Please send the following materials to apply@deepbiometherapeutics.com