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Senior Research Scientist, Machine Learning (BioFM) at Deep Genomics - ApplyBlast

Senior Research Scientist, Machine Learning (BioFM)

Deep Genomics

4 months ago

2.9 on Glassdoor

Toronto, Ontario

Hybrid

Full Time

Senior

0 applicants

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About this role

A Senior/Staff Machine Learning Scientist at Deep Genomics leads the design and training of biological foundation models using advanced deep learning architectures. The role involves pioneering novel pre-training paradigms to decode genomic complexity, collaborating with computational biologists, and mentoring junior researchers to solve frontier problems in drug discovery.

Responsibilities

Lead creative research and architecture design for biological foundation models.
Collaborate with biologists to integrate domain priors into model training.
Implement, train, and evaluate large-scale deep learning models.
Mentor junior scientists and engineers to foster technical excellence.
Share research findings through publications and internal presentations.

Skills

Qualifications

PhD in Computational BiologyPhD in Machine LearningPhD in Computer ScienceResearch Publications in Nature or ScienceExperience with GCP

About Deep Genomics

deepgenomics.com

Headquarters

Toronto, Ontario, Canada

Company Size

51-200 employees

Founded

2014

View Profile

Deep Genomics is an AI-driven genetic medicines platform company that develops and applies Biological Foundation Models (BioFM) to transform drug discovery. Their BioFM Platform integrates AI model development, lab-in-the-loop workflows, fit-for-purpose training datasets, and screening technologies into a single architecture to find molecules and targets others would miss. By combining advanced AI with high-throughput biology, Deep Genomics aims to accelerate the development of life-changing medicines for patients with genetic diseases.