Deep Learning Research Engineer for Structural Biology

University of Texas at Austin; Austin (TX); On-site; USD 30,000 - 36,000; Part time

Benefits offered by this job

100% employer-paid basic medical

Retirement contributions

Paid vacation and sick time

Paid holidays

Job summary

University of Texas at Austin invites applications for a Research Engineering/Scientist Assistant in Deep Learning for Structural Biology at the Oden Institute. The role is 20 hours per week on a six-month term, on UT Austin's main campus.

Responsibilities include developing and evaluating deep learning models for protein structures and molecular interactions, exploring geometric DL architectures, preparing datasets, and collaborating with biologists and physicists to guide model development.

Qualifications

• Bachelor's Degree in a relevant or related field.
• Strong experience in deep learning, especially in Geometric Deep Learning.
• Diffusion Models, and Related areas such as graph neural networks, equivariant architectures, and generative modeling.
• Proficient programming skills and familiarity with modern machine learning frameworks.

Responsibilities

• Develop, implement, and evaluate deep learning methods for structural biology and molecular modeling.
• Research model architectures and training approaches including geometric DL, diffusion models, and graph nets.
• Prepare and process biological datasets for model training and evaluation.
• Maintain research code and computational workflows; train and evaluate models on GPU/HPC.
• Design experiments to assess accuracy, efficiency, and generalization; compare with benchmarks.
• Review literature and adapt promising methods to ongoing research.
• Document methods and experiments to support reproducibility.
• Collaborate with researchers to guide model development and interpret results.

Skills

Geometric DL

Diffusion Models

Graph neural nets

Equivariant nets

Generative modeling

ML frameworks

Education

Bachelor's Degree in a relevant field

Job description

University of Texas at Austin invites applications for a Research Engineering/Scientist Assistant in Deep Learning for Structural Biology at the Oden Institute. The role is 20 hours per week on a six-month term, on UT Austin's main campus.

Responsibilities include developing and evaluating deep learning models for protein structures and molecular interactions, exploring geometric DL architectures, preparing datasets, and collaborating with biologists and physicists to guide model development.