Bioinformatics Research Data Support Specialist (Part Time)

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. Visa sponsorship is not available for this position. The University of Arizona has been recognized for our innovative work-life programs. For more information about working at the University of Arizona and relocations services, please click here . 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. This job posting reflects the general nature and level of work expected of the selected candidate(s). It is not intended to be an exhaustive list of all duties and responsibilities. The institution reserves the right to amend or update this description as organizational priorities and institutional needs evolve. Minimum Qualifications High school diploma or high school diploma equivalency. Minimum of 3 years of relevant experience, or equivalent combination of education and work experience. Preferred Qualifications Bachelor's degree in Bioinformatics, Computational Biology or a related field. Experience working with genomic dataset. Proficiency in Python or other scripting languages used in bioinformatics. Experience working in Linux-based computational environments. Experience using workflow management tools such a Nextflow or similar systems for bioinformatics analysis pipelines. FLSA Non-Exempt Full Time/Part Time Part Time Number of Hours Worked per Week 7 Job FTE .175 Benefits Eligible No Benefits Rate of Pay $18.15 - $22.69 Compensation Type hourly rate Grade 4 Compensation Guidance The Rate of Pay Field represents the University of Arizona’s good faith and reasonable estimate of the range of possible compensation at the time of posting. The University considers several factors when extending an offer, including but not limited to, the role and associated responsibilities, a candidate’s work experience, education/training, key skills, and internal equity. Grade Range represent a full range of career compensation growth over time. The university offers compensation growth opportunities within its career architecture. To learn more about compensation, please review our Applicant Compensation Guide and our Total Rewards Calculator. 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Contact Information for Candidates Liliana Salvador View email address on click.appcast.io #J-18808-Ljbffr UNIVERSITY OF ARIZONA