Job Description

Senior Software Engineer Posting Number
req26695 Department
Pharmacy Practice and Science Department Website Link
https://www.pharmacy.arizona.edu/departments-directory/pharmacy-practice-science-department Location
Tucson Campus Address
Tucson, AZ USA Position Highlights

The Department of Pharmacy Practice and Science trains pharmacist and scientist leaders in patient-centered care, interprofessional practice, and patient and population-oriented research. We are seeking an experienced and high-performing software developer with expertise in software engineering and agentic AI infrastructure, 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!

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Duties & Responsibilities

• Architect and lead development of agentic AI systems for scientific research, including multi-agent orchestration, tool-use and retrieval infrastructure, model serving and evaluation pipelines, and the abstractions that let LLM-driven agents reliably perform data wrangling, visualization, and analysis.
• Responsible for translating open-ended research problems into production-quality system designs, selecting and integrating model and framework technologies, and establishing engineering standards that keep these systems robust, observable, reproducible, and maintainable at scale.
• Design, write, and evaluate algorithms, software, workflows, and data management architectures supporting large-scale genomics and molecular dynamics data. Programming languages will include Python for agentic infrastructure, data management, and analysis, and Rust for speed-optimized algorithm implementations.
• Projects will entail development of command line tools, APIs, and cloud-based web services (both public and private cloud).
• Establish and maintain industry-grade software engineering practice across the research group, including testing, continuous integration and deployment, documentation, release management, security and credential handling, and cost and resource monitoring.
• Provide implementation and administration of workflow systems, containerization frameworks, and deployment onto national computational infrastructure such as DOE and NSF-supported HPC and cloud resources.
• Provide technical leadership, mentoring, and training for software engineers, graduate students, and undergraduate researchers, including code review, architectural guidance, and establishing shared engineering conventions.
• Contribute to grant development, strategic planning of the group's technical direction, and representation of the group's software and AI infrastructure work to collaborators, funding agencies, and the broader scientific community.

Knowledge, Skills and Abilities:

• Ability to turn open-ended problems into concrete system architectures.
• Ability to communicate effectively in both technical and non-technical contexts.
• Ability to mentor and technically lead 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.

Minimum Qualifications

• 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 is required.

Preferred Qualifications

• Experience setting software engineering standards across a team.
• Experience designing and operating production-grade cloud services.
• Mastery architecting LLM-based agentic systems, including orchestration, tool use, and evaluation.
• Mastery with Linux, HPC, and cloud environments.

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 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
Travis Wheeler I twheeler@arizona.edu Open Date
8/4/2026 Open Until Filled
Yes Documents Needed to Apply
Resume, Cover Letter, and One Additional Document Special Instructions to Applicant
Additional Document Request: Please provide the contact information for three professional references who have direct knowledge of your work experience and performance. References may include current or former supervisors, managers, or professional colleagues. Family members and personal friends should not be listed unless specifically requested. Notice of Availability of the Annual Security and Fire Safety Report
In compliance with the Jeanne Clery Campus Safety Act (Clery Act), each year the University of Arizona releases an Annual Security Report (ASR) for each of the University’s campuses. These reports disclose information including Clery crime statistics for the previous three calendar years and policies, procedures, and programs the University uses to keep students and employees safe, including how to report crimes or other emergencies and resources for crime victims. As a campus with residential housing facilities, the Main Campus ASR also includes a combined Annual Fire Safety report with information on fire statistics and fire safety systems, policies, and procedures.
Paper copies of the Reports can be obtained by contacting the University Compliance Office at cleryact@arizona.edu.