Senior Software Engineer

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.

• 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.

• Design novel algorithms, software, and data management architectures for cutting-edge, large-scale genomics and molecular dynamics research, setting technical direction across command-line tools and cloud-based services.
• Establish software engineering standards, including testing, continuous integration, and release management, and drive their adoption across the group's projects.
• Mentor and train junior software engineers and student researchers.
• Author the technical content of grant proposals and advise on research funding strategy.

• Knowledge of optimized software development in Rust or similar low-level language.
• Knowledge of Python for data management and analysis.
• Knowledge of Linux, HPC, and cloud environments.
• Skills in developing server-side / cloud solutions,
• Ability to communicate effectively in both technical and non-technical contexts.
• Ability to mentor junior software engineers.

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.

• Bachelor's degree in Computer Science or related field, or equivalent advanced learning attained through professional level experience required.
• Minimum of 8 years of relevant work experience, or equivalent combination of education and work experience.

• Experience with bioinformatic (genomic) data analysis and related analysis topics.

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