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Computer Vision Research Assistant information

See Tucson, AZ salary details

$31.7K

$45.7K

$60K

How much do computer vision research assistant jobs pay per year?

As of Sep 2, 2026, the average yearly pay for computer vision research assistant in Tucson, AZ is $45,665.00, according to ZipRecruiter salary data. Most workers in this role earn between $35,900.00 and $52,500.00 per year, depending on experience, location, and employer.

What is a computer vision research assistant?

Computer Vision Research Assistants are professionals who support research projects focused on developing algorithms and systems that enable computers to interpret and process visual information from the world, such as images and videos. They assist with tasks like data collection, annotation, running experiments, literature review, and implementing computer vision models. These roles often require knowledge of programming, machine learning, and image processing techniques, and are commonly found in academic labs, tech companies, and research institutions. Their work helps advance the field by contributing to innovations in areas like object recognition, autonomous vehicles, medical imaging, and augmented reality.

What does a computer vision research assistant do?

As a Computer Vision Research Assistant, you can expect to work on tasks such as collecting and annotating image datasets, implementing and testing computer vision algorithms, and assisting with experimental design for research studies. You will frequently collaborate with graduate students, faculty, or senior researchers to analyze data and prepare reports or presentations. Your daily work may involve coding in Python or MATLAB, running experiments, and troubleshooting model performance, all within a collaborative research team environment.

What are the key skills and qualifications needed to thrive as a computer vision research assistant?

To thrive as a Computer Vision Research Assistant, you need a strong background in computer science, mathematics, and image processing, often supported by a relevant degree or coursework. Experience with machine learning frameworks (such as TensorFlow or PyTorch), programming languages like Python or C++, and familiarity with computer vision libraries (like OpenCV) are typically required. Critical thinking, problem-solving abilities, and effective communication help distinguish top candidates in collaborative research environments. These skills and qualifications are essential for developing innovative solutions, efficiently analyzing visual data, and contributing to cutting-edge research projects.

What are the most commonly searched types of Computer Vision Research jobs in Tucson, AZ?

The most popular types of Computer Vision Research jobs in Tucson, AZ are:

What are popular job titles related to Computer Vision Research Assistant jobs in Tucson, AZ?

For Computer Vision Research Assistant jobs in Tucson, AZ, the most frequently searched job titles are:

What job categories do people searching Computer Vision Research Assistant jobs in Tucson, AZ look for?

The top searched job categories for Computer Vision Research Assistant jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Computer Vision Research Assistant jobs?

Cities near Tucson, AZ with the most Computer Vision Research Assistant job openings:

Computer Vision Research Assistant jobs near you
Infographic showing various Computer Vision Research Assistant job openings in Tucson, AZ as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 93% Physical, 1% Hybrid, and 6% Remote job distribution, with an average salary of $45,665 per year, or $22 per hour.

Research Assistant Professor (Career-Track)

UNIVERSITY OF ARIZONA

Tucson, AZ • On-site

$90 - $130/hr

Other

Medical, Dental, Vision, Life, PTO

Posted 25 days ago

University Of Arizona rating

7.4

Company rating: 7.4 out of 10

Based on 69 frontline employees who took The Breakroom Quiz

338th of 628 rated colleges and universities

Job description

Research Assistant Professor (Career-Track)

Research Assistant Professor (Career-Track)

Posting Number req26728

Department Pharmacology and Toxicology

Department Website Link https://www.pharmacy.arizona.edu/departments-directory/pharmacology-toxicology-department

Medical Sub-Speciality

Location Tucson Campus

Address Tucson, AZ USA

The Research Assistant Professor in Virology will develop antifungals against fungal pathogens such as Cryptococcusneoformans, Candida auris, C. albicans, Coccidioides immitus, and Aspergillus fumigatus. The role involves designing andexecuting assays to identify and validate antifungal candidates and integrating mycology with drug discovery to advancepreclinical therapeutics.

Visa sponsorship is not available for this position.

Benefits
  • 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.

Antifungal Discovery and Screening
  • Design, develop, and execute in vitro assays to identify and characterizesmall-molecule and biologic antifungal candidates against emerging viruses, including Cryptococcus neoformans, Candidaauris, C. albicans, Coccidioides immitus, and Aspergillus fumigatus.
In Vivo Evaluation of Antifungals
  • Conduct and oversee preclinical in vivo studies in relevant animal models to assess efficacy, pharmacokinetics, and safety of antifungal candidates.
Mechanistic mycology Studies
  • Investigate fungal replication, pathogenesis, and host-fungi interactions to inform rational drug design and optimization of antifungal therapeutics.
Collaboration and Project Management
  • Coordinate with multidisciplinary teams including medicinal chemists, structural biologists, and clinicians to advance antiviral projects from discovery to preclinical development.
Scientific Communication and Reporting
  • Prepare manuscripts, grant reports, and presentations to disseminate research findings and support funding and regulatory requirements.
Knowledge, Skills and Abilities
  • Strong knowledge of mycology, fungal replication mechanisms, and host–fungus interactions.
  • Skilled in designing and performing in vitro antifungal assays, cell culture techniques, and molecular biology methods.
  • Skilled in conducting and interpreting in vivo animal studies for infectious diseases, including efficacy and PK/PD evaluation.
  • Ability to analyze, interpret, and present complex scientific data clearly in written and oral formats.
  • Demonstrated skills in experimental design, troubleshooting, and independent problem-solving.
  • Ability to work collaboratively in multidisciplinary teams and manage multiple projects effectively.
  • Knowledge and familiarity with biosafety regulations and experience working in BSL-2/BSL-3 laboratory environments
Minimum Qualifications
  • Ph.D. in Virology, Mycology, Microbiology, Biochemistry, or a related biomedical field, with at least 5 years of relevant research experience in antifungal drug discovery or molecular mycology.
  • Demonstrated expertise in in vitro mycology assays and experience with in vivo animal models for infectious diseases are required.
  • A strong track record of peer-reviewed publications and experience working in multidisciplinary research teams is expected.
Preferred Qualifications
  • Prior experience in antifungal drug discovery and development.
  • Experience working with high-containment fungi and in BSL-3 laboratory settings.
  • Prior experience in antiviral development against fungal pathogens and familiarity with BSL-2/BSL-3 laboratory practices is highly desirable.

Rank Assistant Professor

FLSA Exempt

Full Time/Part Time Full Time

Number of Hours Worked per Week 40

Job FTE 1.0

Work Calendar Fiscal

Job Category Faculty

Benefits Eligible Yes - Full Benefits

Rate of Pay DOE

Compensation Type salary at 1.0 full-time equivalency (FTE)

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 Hongmin Li I hli001@pharmacy.arizona.edu

Open Date 8/7/2026

Open Until Filled Yes

Documents Needed to Apply Curriculum Vitae (CV) and Cover Letter

Special Instructions to Applicant

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.Thesereports 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.

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