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The R. Ken Coit College of Pharmacy at the University of Arizona seeks an experienced Senior Software Engineer with bioinformatics focus to develop optimized software and workflows for genomics and proteomics data analysis. You will lead development of high-performance command-line tools and cloud-based services.
This exempt, full-time role offers a comprehensive benefits package and opportunities to mentor junior engineers, contribute to grant proposals, and influence research directions.
Location: Tucson Campus
Address: Tucson, AZ USA
The R. Ken Coit College of Pharmacy is seeking an experienced and high-performing Senior Software Engineer with a strong background in software engineering and bioinformatics, along with enthusiasm for working with a mid-sized academic team to develop optimized software and workflows for genomic and proteomic data analysis. The selected candidate will lead development efforts for both high-performance command line analysis software and cloud-based web services.
Visa sponsorship is not available for this position.
The University of Arizona has been recognized for our innovative work-life programs.
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.
FLSA Exempt
Full Time/Part Time Full Time
Number of Hours Worked per Week 40
Job FTE 1.0
Work Calendar Fiscal
Job Category Research
Benefits Eligible Yes - Full Benefits
Rate of Pay $117,883 - $153,248
Compensation Type salary at 1.0 full-time equivalency (FTE)
Grade 13
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 Applicant Compensation Guide and our Total Rewards Calculator.
Career Stream and Level PC4
Job Family Research Engineering
Job Function Research
Name-based criminal background check (non-security sensitive)
Number of Vacancies 1
Contact Information for Candidates Travis Wheeler | twheeler@arizona.edu