I found a perfect job. Closer to where I live. - Melinda

Job Details

Bioinformatics Research Data Support Specialist (Part Time)

  2026-09-28     University of Arizona     all cities,AK  
Description:

Bioinformatics Research Data Support Specialist (Part Time)

Posting Number - req26217

Department - Animal & Biomedical Sciences - Res

Location - To Be Determined

Address - USA

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.

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

Work Calendar - Fiscal

Job Category - Research

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. The Grade Range represents 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.

Career Stream and Level - OC2

Job Family - Research & Data Analysis

Job Function - Research

Type of criminal background check required: - Name-based criminal background check (non-security sensitive)

Number of Vacancies - 1

Target Hire Date - 8/17/2026

Contact Information for Candidates - Liliana Salvadorlilianasalvador@arizona.edu

Open Date - 6/9/2026

Open Until Filled - Yes

Documents Needed to Apply - Resume and Cover Letter


Apply for this Job

Please use the APPLY HERE link below to view additional details and application instructions.

Apply Here

Back to Search