Research Assistant
Core
Execute ultra-large protein structure modeling workflows and customize deep learning/physics-based tools for massive systems (>8000 residues).
Role type
Research Assistant (Computational Biology/Structural Modeling)
Builds
Ultra-large protein structure models and optimized prediction pipelines
Domain
Computational biology, structural bioinformatics, AI for science
Deliverable
production ML models
Required skills
Python scripting, Bash, deep learning frameworks (PyTorch, PyTorch Lightning), protein structure modeling, data featurization, pipeline optimization
Preferred skills
Physics-based modeling (ClusPro, Rosetta), HPC environments (Slurm, CUDA), cloud infrastructure (AWS/GCP), containerization (Docker, Singularity)
Technologies
PyTorch, PyTorch Lightning, Boltz, AlphaFold3, ClusPro, Rosetta, Slurm, CUDA, AWS, GCP, Docker, Singularity
Responsibilities
Prepare and scale ultra-large protein structure modeling workflows; finetune and customize protein structure prediction models; manage large structural datasets and analyze outputs; assist with computational setups and cluster/cloud configurations
Seniority
Entry-level to Mid-level, hands-on IC