Bioinformatics Research Data Support Specialist (Part Time)

Position Highlights

The Research Data Support Specialist II will support research activities in the Computational Zoonoses Lab within the School of Animal and Comparative Biomedical Sciences of the University of Arizona by processing, organizing, and analyzing pathogen genomic datasets. The position assists in maintaining bioinformatics pipelines, managing research data, and generating analytical outputs that support research projects focused on zoonotic infectious diseases. This role collaborates with laboratory researchers to ensure data quality, reproducible analyses, and proper documentation of computational workflows.

Remote work available within Arizona.

Duties & Responsibilities

Genomic Data Processing and Analysis:

Process and analyze genomic datasets using established bioinformatics tools and computational workflows to support research projects investigating zoonotic pathogens.

Bioinformatics Pipeline Development and Maintenance:

Assist in developing, implementing, updating, and troubleshooting bioinformatics pipelines used for genomic data processing and analysis.

Research Data Organization and Reporting:

Organize and manage research datasets, generate data summaries and visualizations, and assist in preparing analytical outputs that support research reports and publications.

Documentation and Data Management:

Maintain documentation of computational workflows, analysis pipelines, and software tools to ensure reproducibility and consistency of research analyses.

Research Collaboration and Technical Support:

Collaborate with laboratory members and research partners to support data analysis, troubleshoot computational workflows, and contribute to ongoing research initiatives.

Knowledge, Skills and Abilities

• Knowledge of bioinformatics methods for genomic data analysis.
• Ability to manage and analyze large biological datasets.
• Programming and scripting skills in Python and related bioinformatics tools.
• Experience working in Linux-based computational environments.
• Ability to develop and maintain reproducible computational workflows.
• Strong analytical and problem-solving skills.
• Strong communication and collaboration skills in interdisciplinary research teams.