Computing Sciences Researcher
Listed on 2026-10-13
-
Software Development
Software Engineer, Data Scientist
Location
Tucson Campus
AddressTucson, AZ USA
Position HighlightsThe R. Ken Coit College of Pharmacy is seeking an intellectually curious and high-performing Computing Sciences Researcher I with a strong background in computer science and experience with genomic data analysis, along with enthusiasm for working in a mid-size academic team. The selected candidate will develop and/or maintain software and web services genomic and proteomic data analysis, working with other members of the team to develop, test, document, and release software tied to the research objectives of the research group.
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
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!
Duties & Responsibilities- Design, develop visual representations, test, and maintain software applications, computer systems, and web services supporting research and operational objective. Programming languages will include Rust, Python, and Type Script.
- Engage in software engineering practices including testing, continuous integration, documentation, and release management. May include modest implementation and administration of workflow systems and containerization frameworks. These efforts will support their own projects and those of others in the group.
- Collaborate with other lab members to understand requirements and develop effective software solutions.
- Maintain technical documentation and system specifications.
- Provide technical support and consultation to lab members developing or using software systems.
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 1 year of relevant work experience is required.
- Experience with analysis of genomic data sets with common tools/pipelines is desired.
Exempt
Full Time/Part TimeFull Time
Number of Hours Worked per Week40
Job FTE1.0
Work CalendarFiscal
Job CategoryResearch
Benefits EligibleYes - Full Benefits
Rate of Pay$65,687 - $85,393
Compensation Typesalary at 1.0 full-time equivalency (FTE)
Grade9
Compensation GuidanceThe 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 university offers compensation growth opportunities within its career architecture.
Career Stream and LevelPC1
Job FamilyResearch & Data Analysis
Job FunctionResearch
Type of criminal background check required:Name-based criminal background check (non-security sensitive)
Number of Vacancies1
Contact Information for CandidatesDr. Travis Wheeler I twheeler
Open Date10/9/2026
Open Until FilledYes
Documents Needed to ApplyResume, Cover Letter, and One Additional Document
Special Instructions to ApplicantProfessional References
Required:
Please provide the contact information for two 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.
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