Topos BioTopos Bio is developing computational methods to drug intrinsically disordered proteins. 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: Develop generative models for protein conformational ensembles trained on simulation and experimental dataBuild novel ML architectures for ensemble-based affinity prediction and generative chemistryAdapt methods from research literature to disordered protein targetsDesign scalable training pipelines for high-throughput experimentationCollaborate with computational and experimental scientists to validate models against biophysical dataWhat we are looking forStrong foundation in machine learning theory and implementationDeep understanding of modern generative models with application to the sciencesBackground in computational sciences involving biology and chemistryPreferredMS or PhD in machine learning with application to computational scienceStrong publication recordExperience with molecular simulation and protein modeling

Also on the board Same function, level within a rung

Level

Lead

Location

Santa Fe, NM

Occupation

Computer and Information Research Scientists

Industry

Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)

Posted

today

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