Bioinformatics Research Associate: LLM Pipelines (Onsite)

Commonwealth of VA Careers; Richmond (VA); On-site; USD 34,000 - 41,000; Part time

Job summary

Virginia Commonwealth University’s School of Medicine in Richmond seeks a part-time Bioinformatics Research Associate to build and evaluate LLM-based pipelines. You will develop Python software, integrate cloud resources, and maintain reproducible workflows for research teams.

Candidates should have Python, plus experience in LLM development and bioinformatics pipelines. This onsite, 29-hour-per-week position offers hourly pay and a chance to contribute to cutting-edge biomedical research.

Qualifications

• High school diploma or equivalent required.
• At least 2 years of lab experience which may include student experience.
• Bachelor's degree in related science will be considered in lieu of experience.
• Demonstrated skills in Python programming, LLM development, bioinformatics pipeline development, software development, and cloud computing.
• Demonstrated ability to work in and foster an environment of respect, professionalism and civility with a population of faculty, staff, and students from all backgrounds and experiences, or a commitment to do so as a hourly employee at VCU

Responsibilities

• Develop and evaluate LLM-based bioinformatics pipelines
• Integrate LLMs with bioinformatics tools and cloud computing resources
• Write, test, debug, and maintain Python software and reusable pipeline components
• Document workflows, assess output quality, and communicate results to the research team

Skills

Python programming

LLM development

bioinformatics pipeline development

software development

cloud computing

Education

Bachelor's degree in related science

PhD in bioinformatics, computer science, or a related field

Job description

Virginia Commonwealth University’s School of Medicine in Richmond seeks a part-time Bioinformatics Research Associate to build and evaluate LLM-based pipelines. You will develop Python software, integrate cloud resources, and maintain reproducible workflows for research teams.

Candidates should have Python, plus experience in LLM development and bioinformatics pipelines. This onsite, 29-hour-per-week position offers hourly pay and a chance to contribute to cutting-edge biomedical research.