Business data analyst [h1.location_city]

Bioinformatician, Data Analyst (Part Time) Posting Number req24664 Department School of Plant Sciences-Res Department Website Link Location Main Campus Address 1657 E. Helen St., Tucson, AZ 85721 USA Position Highlights The School of Plant Sciences seeks applications for Bioinformatician, Data Analyst. The Bioinformatician will analyze genomic datasets for the Arizona Genomics Institute's Service Center and its research programs. The data will mostly consist of DNA sequencing data from long and short read platforms and public raw or analyzed datasets, with the goal of producing genome assemblies, annotation, and the overall characterization of genetic features of eukaryotic genomes.

The successful candidate will be proficient in executing software and commands via the command line, will have worked with long and short-read sequencing data, and must have a deep understanding of eukaryotic genetics and genomics. The candidate will interact with a variety of colleagues, collaborators, and customers. A high degree of initiative, resourcefulness, and professionalism are necessary.

Outstanding U of A benefits include health, dental, and vision insurance plans; life insurance and disability programs; paid vacation, sick leave, and holidays; U of A / ASU / NAU tuition reduction for the employee and qualified family members; retirement plans; access to U of A recreation and cultural activities; and more!

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 .

Duties & Responsibilities

• Genome assembly and quality assessment.
• Using PacBio HiFi, ONT, and Hi-C data to generate eukaryotic genome assemblies, including manual curation. Will use established protocols for genome assemblies and manual curation.
• Execute available software ( Hifiasm, Verkko, Merqury), statistical programs and custom-made scripts to generate highly accurate, complete, and phased assemblies.
• Genome annotation and variant detection.
• Execute established software ( BRAKER, EDTA) to identify the main genome features ( genes, repeats, transposable elements, and more).
• Genome alignments and comparison, variant calling, integration of other resources ( transcriptome, optical maps) and similar analyses as the need may arise.
• Analyze novel and different datasets ( 16S, transcriptome, resequencing) for project-specific goals ( population genomics, demography, functional characterization), using established and original statistical methods and software as directed.
• Summarize work in reports, tables, and statistical sections of scientific manuscripts.
• Interact with colleagues and external partners to provide input and receive direction.
• Attend meetings, take notes, contribute to preparation of data summaries and sections for research proposals.

Knowledge, Skills & Abilities :

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

Preferred Qualifications

FLSA Exempt Full Time / Part Time Part Time Number of Hours Worked per Week 24 Job FTE Work Calendar Fiscal Job Category Research Benefits Eligible Yes - Full Benefits Rate of Pay $65,687 - $85,393 Compensation Type salary at full-time equivalency (FTE) Grade 9 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 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 and our . Career Stream and Level PC2 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 Expected End Date Contact Information for Candidates Dr. Dario Copetti

AGI Associate Director

Open Date 12 / 2 / 2025 Open Until Filled Yes Documents Needed