Research Engineering/ Scientist Assistant - Deep Learning for Structural Biology
Core
Developing and applying deep learning models for predicting protein structures and molecular interactions within structural biology.
Role type
Research Assistant (Deep Learning for Structural Biology)
Builds
Research code, computational workflows, and scientific publications
Domain
Computational Biology / Structural Biology
Deliverable
research
Required skills
Deep learning, Geometric Deep Learning, Diffusion Models, Graph Neural Networks, Generative modeling, GPU/High-performance computing, Python/Machine Learning frameworks
Preferred skills
Biological or structural applications background
Responsibilities
Developing deep learning models for protein structure prediction, exploring model architectures (geometric deep learning, diffusion models), preparing biological datasets, implementing research code, training and evaluating models on HPC, designing computational experiments, reviewing scientific literature, documenting methods for reproducibility, preparing figures and reports for publications, collaborating with computational biology researchers
