Senior Machine Learning Scientist at Deep Genomics

Drive AI innovation at Deep Genomics as a Senior Machine Learning Scientist, specializing in Biological Foundation Models. Lead the exploration of deep learning to unlock drug discovery potential.

This role targets an experienced Senior/Staff Machine Learning Scientist focused on advancing the development of Biological Foundation Models (BioFMs). You will work on large-scale genomics, leveraging machine learning to represent complex biological processes. Collaborating with experts in computational biology and drug development is essential to ensure meaningful model architectures and capabilities.

Key Responsibilities:

• Lead research and design for Biological Foundation Models

• Collaborate with biologists to integrate deep biological insights

• Implement and evaluate large-scale genomic models

• Stay updated on machine learning advancements

• Mentor junior scientists and engineers

Requirements:

• PhD in Computational Biology, Machine Learning, or a related field

• Expertise in deep learning architectures for genomic data

• Proven record in building AI models for biological applications

• Experience with frameworks like Py Torch

• 2+ years in R&D or competitive academia

Elevate drug discovery through cutting-edge machine learning and collaborative innovation.
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