Deep Learning Research Engineer - Structural Biology

University of Texas; Utah; On-site; USD 27,000 - 40,000; Part time

Job summary

The University of Texas at Austin invites applications for a Research Engineering/ Scientist Assistant specializing in deep learning for structural biology. The role focuses on developing and evaluating DL models for protein structures and molecular modeling within the Oden Institute.

The position is 20 hours per week on a limited-duration basis, with a six-month initial term and funding-dependent extension. Collaboration across computational biology, biochemistry, and biophysics is expected.

Qualifications

• Bachelor's Degree in a relevant or related field.
• Strong experience in deep learning, especially geometric deep learning, diffusion models, graph neural networks, equivariant architectures, and generative modeling.
• Proficient programming skills and familiarity with modern machine learning frameworks.
• Relevant education and experience may be substituted as appropriate.

Responsibilities

• Develop, implement, and evaluate deep learning models for structural biology and molecular modeling.
• Explore architectures including geometric deep learning, diffusion models, and graph neural networks.
• Prepare and process biological/structural datasets for training and evaluation.
• Maintain research code and computational workflows.
• Train, fine-tune, and evaluate models on GPU and HPC resources.
• Design experiments to assess model accuracy, efficiency, and generalization.
• Compare model performance with existing methods using benchmarks and metrics.
• Collaborate with researchers to guide model development and interpret results.
• Document methods and experiments to support reproducibility.
• Prepare figures, reports, and contributions to scientific publications.

Skills

Geometric deep learning

Diffusion models

Graph neural networks

Equivariant architectures

Generative modeling

Programming skills

Education

Bachelor's degree

Job description

The University of Texas at Austin invites applications for a Research Engineering/ Scientist Assistant specializing in deep learning for structural biology. The role focuses on developing and evaluating DL models for protein structures and molecular modeling within the Oden Institute.

The position is 20 hours per week on a limited-duration basis, with a six-month initial term and funding-dependent extension. Collaboration across computational biology, biochemistry, and biophysics is expected.