Senior Researcher/Engineer

Teknik, data och digitalt · Data, AI och analys · Datavetenskap · Maskininlärning · Artificiell intelligens

I korthet

Join Microsoft's mission to solve biomolecular function at scale by developing AI emulators. This role involves contributing to an ambitious research agenda, developing models, and orchestrating large-scale data generation. The ideal candidate has a background in Machine Learning, Computational Chemistry, Physics, or Biology.

Ansvarsområden

Contribute to and drive an ambitious, high-impact, research agenda development on machine learning in the molecular sciences.
Develop strategies for integrating large-scale heterogeneous model data from molecular simulation and laboratory experiments and identifying untapped data sources.
Write research code to test new approaches or develop novel theoretical and practical insights.
Prepare technical papers and presentations.
Work on a day-to-day basis with an international and interdisciplinary research team on one overarching research goal.
Be fully committed to one research project that may take several years to come to fruition and prioritizing team success over individual research interests.

Krav

Master's Degree in relevant field AND 1+ year(s) related research experience OR Bachelor's Degree in relevant field AND 2+ years related research experience OR equivalent experience.

Önskade kvalifikationer

Doctorate in relevant field OR Master's Degree in relevant field AND 3+ years related research experience OR Bachelor's Degree in relevant field AND 5+ years related research experience OR equivalent experience.
Experienced in Python software development with object-oriented design and basic deployment, ideally demonstrated by published software projects (e.g., github).
Experienced in developing and implementation of deep learning systems (e.g., in PyTorch or JAX) and agentic software design and testing.
Experienced in modelling or simulation of molecules, ideally biomolecules
High-quality publications in leading disciplinary or interdisciplinary venues or demonstrated leadership in software development.
Experience with protein science, bioinformatics, biophysics or computational Chemistry.
Understanding of computational statistics and experience with generative model development (e.g., diffusion or flow-models).
Experience in method development for molecular dynamics and statistical mechanics.
Track-record of developing and optimizing novel deep learning architectures.

Förmåner

USD $119,800 - $234,700 per year (US range)
USD $160,200 - $261,000 per year (San Francisco Bay area and New York City metropolitan area range)
Certain roles may be eligible for benefits and other compensation.

Färdigheter

PythonPyTorchJAXDeep LearningMachine LearningObject-Oriented DesignGenerative ModelsMolecular DynamicsStatistical Mechanics

#AI#machine learning#computational chemistry#physics#biology#biomolecular function#drug discovery#molecular simulation#AI emulators#protein sequences#structure prediction

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