Computational Research Scientist II: Protein Design & AI

The University of Texas at Austin; Austin (TX); On-site; USD 41,000 - 50,000; Full time

Job summary

The Savinov lab at UT Austin is seeking a Research Engineering/Scientist Associate II to contribute to multiple projects that design protein fragments as regulators of cellular interactions. You will run AI/ML structure prediction, protein design, and data science on HPC systems.

Experience with AlphaFold, Python, and data-heavy workflows is essential; additional biology experience is a plus. You will help train new lab members and maintain computational infrastructure in a collaborative

Qualifications

• Master’s degree in a related field or bachelor’s degree plus at least two years of relevant experience.
• Experience with and willingness to perform routine and novel computational methods, including on high-performance computing environments.
• Experience with AlphaFold and related AI/ML structure-prediction approaches.
• Experience with Python, BASH, and high-performance computing systems.
• Experience with data science and working with large experimental and computational datasets.
• Experience with AI dev tools and learning new computational/AI/ML techniques.

Responsibilities

• Computational research and research support, including AI/ML-based structure prediction, protein design, and bioinformatics.
• Training and lab support: help train new lab members in computational methods and maintain documentation.

Skills

Python

AI/ML

High-performance computing

Data science

Research

Communication

Teamwork

Education

Master’s degree in a related field

Bachelor’s degree + 2 years experience

Tools

AlphaFold

BASH

GitHub

High-performance computing systems

Job description

The Savinov lab at UT Austin is seeking a Research Engineering/Scientist Associate II to contribute to multiple projects that design protein fragments as regulators of cellular interactions. You will run AI/ML structure prediction, protein design, and data science on HPC systems.

Experience with AlphaFold, Python, and data-heavy workflows is essential; additional biology experience is a plus. You will help train new lab members and maintain computational infrastructure in a collaborative