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Senior Machine Learning Scientist
Job Description & How to Apply Below
Experience the cutting edge of AI in drug discovery at Deep Genomics as a Senior Machine Learning Scientist. Lead the design and development of Biological Foundation Models in a flexible work environment.
This pivotal role involves innovating within our core AI research team, where you will focus on creative solutions in deep learning for genomic data. You will tackle complex
-omics challenges while closely collaborating with experts in computational biology and drug development. By driving the next generation of BioFMs, you'll have the chance to leave a meaningful impact on human health and drug discovery.
Key Responsibilities:
• Lead research and design for Biological Foundation Models
• Collaborate with biologists to integrate biological priors
• Implement, train, and debug large-scale models
• Stay updated on advancements in machine learning
• Mentor junior scientists and promote scientific curiosity
Requirements:
• PhD in relevant quantitative fields
• Proven track record in building AI models
• Deep understanding of deep learning architectures
• Experience with frameworks like Py Torch
• Excellent communication skills with ML and biology experts
Leverage your expertise in AI and computational biology to revolutionize drug discovery at Deep Genomics.
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Position Requirements
10+ Years
work experience
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