Machine Learning Scientist
Location: Kendall Square, Cambridge, MA, USA | Full time

Responsibilities
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Build and reinforce the computational framework for processing various metagenomics projects with indications in human health.
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Work alongside bioinformaticians, computational biologists, engineers, and biologists in a highly collaborative environment.
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Learn existing biological databases and how we can leverage them into our platform.
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Analyze, improve, and maintain relational databases.
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Develop and maintain high quality revision controlled code.
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Build docker images for complicated tasks.
Qualifications
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A strong publication record including peer-reviewed AI conferences such as ACL, CVPR, ICCV, ICLR, ICML, or NIPS.
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A degree in Computational Science or related discipline with a focus on machine learning.
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Up to date with cutting edge approaches and technologies in Deep learning.
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Familiar with predictive modeling/statistical concepts: multi-scalar dimensional models, neural networks, logistic regression, etc.
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Experience building/developing deep learning software.
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Creative and adaptive. Must be able to critically think and leverage new technologies.
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Ready to work in a multi-disciplinary team projects.
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Clear, consistent, and open communication is a must.
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Talented, highly motivated, and self-driven.
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In-depth understanding of data structure.
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Proficiency in Python, R, Docker, Github, and Linux environments.
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Experience with cloud computing platforms such as AWS, GCP, or Azure.
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Basic understanding of Biology. Understanding of Genomics/Microbiome a plus.
Intangibles
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Competitive salary, top benefits, and stock options.
To Apply
Please send the following materials to apply@deepbiometherapeutics.com
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Brief self intro and interest
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Resume
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References