ML Research Scientist
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Before you apply
SalaryNo pay range posted
LocationSan Francisco Office
Work modeon-site
Typefull-time
SeniorityMid
DepartmentEngineering
Company size3+ people
PostedSep 30, 2026 · 1mo ago
Verified live1d ago
At a glanceSummarised by Seekless from the posting.
Strong foundation in machine learning theory and implementation
Deep understanding of modern generative models with application to the sciences
Background in computational sciences involving biology and chemistry
MS or PhD in machine learning with application to computational science
Strong publication record
Experience with molecular simulation and protein modeling
Skills
Python
ML
generative models
molecular simulation
protein modeling
Topos Bio
Topos Bio is developing computational methods to drug intrinsically disordered proteins.
About the role
We’re seeking a research scientist to develop and optimize ML methods that bridge simulation, protein modeling, and small molecule design. This role requires both strong machine learning foundations and the ability to work at the interface of computational biology, structural modeling, and chemistry.
What you will do
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Develop generative models for protein conformational ensembles trained on simulation and experimental data
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Build novel ML architectures for ensemble-based affinity prediction and generative chemistry
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Adapt methods from research literature to disordered protein targets
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Design scalable training pipelines for high-throughput experimentation
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Collaborate with computational and experimental scientists to validate models against biophysical data
What we are looking for
•
Strong foundation in machine learning theory and implementation
•
Deep understanding of modern generative models with application to the sciences
•
Background in computational sciences involving biology and chemistry
Preferred
•
MS or PhD in machine learning with application to computational science
•
Strong publication record
•
Experience with molecular simulation and protein modeling
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