A prestigious university is seeking a highly skilled Postdoctoral Fellow to lead the computational development of a novel generative AI framework for structural biology. This role focuses on integrating X-ray scattering data to model protein ensembles, utilizing advanced GPU workflows. The position requires a completed doctoral degree in a related field and advanced proficiency in PyTorch and distributed training techniques. A competitive salary range of $70,000 - $85,000 is offered for this full-time position based at the university's downtown campus.
Qualifications
Completed doctoral degree requirements by start date.
Strong understanding of model stability and gradient accumulation.
Familiarity with geometric deep learning or diffusion architectures.
Responsibilities
Lead technical evolution of project for protein ensemble modeling.
Implement next phase from rigid-body models to sophisticated systems.
Resolve hardware-specific performance challenges across GPU environments.
Design new loss functions and data integration from experimental data.
Skills
Expert-level proficiency in PyTorch
Expert-level proficiency in JAX
Experience with Distributed Training
Managing large-scale GPU workloads
Understanding of mixed-precision training
Education
Doctoral degree in Computer Science, Data Science, or related field
Tools
CUDA for hardware-specific performance
Docker
Singularity
Job description
A prestigious university is seeking a highly skilled Postdoctoral Fellow to lead the computational development of a novel generative AI framework for structural biology. This role focuses on integrating X-ray scattering data to model protein ensembles, utilizing advanced GPU workflows. The position requires a completed doctoral degree in a related field and advanced proficiency in PyTorch and distributed training techniques. A competitive salary range of $70,000 - $85,000 is offered for this full-time position based at the university's downtown campus.