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Remote Research Engineer Jobs in Tucson, AZ (NOW HIRING)

Naval Air Systems Command

GENERAL ENGINEER

Tucson, AZ · On-site +1

$91K - $140K/yr

... remote or isolated sites. You must be able to travel on military and commercial aircraft for ... Successful completion of a professional engineering degree. To be acceptable, the program must: (1) ...

Naval Air Systems Command

General Engineer

Tucson, AZ · On-site +1

$91K - $140K/yr

You will perform Software Systems Engineering oversight as a Technical Representative at the ... remote or isolated sites. You must be able to travel on military and commercial aircraft for ...

Bradken

Business Development Specialist

Tucson, AZ · On-site +1

In this fully remote position, you will be the spearhead for our Fixed Plant, Mill Liners, and Wear ... You will be backed by a century of engineering excellence and a brand name that opens doors to the ...

Grid United

Right of Way Agent (Remote)

Tucson, AZ · Remote

$28.50 - $38.50/hr

... research and curative work, coordinate land acquisition contractors, participate in public involvement meetings, and interface across development, engineering, environmental, legal, GIS, and external ...

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Remote Research Engineer information

See Tucson, AZ salary details

$35K

$100.2K

$134.7K

How much do remote research engineer jobs pay per year?

As of Sep 5, 2026, the average yearly pay for remote research engineer in Tucson, AZ is $100,232.00, according to ZipRecruiter salary data. Most workers in this role earn between $98,300.00 and $98,300.00 per year, depending on experience, location, and employer.

What is a remote research engineer?

A Remote Research Engineer is a professional who conducts research and develops new technologies, algorithms, or solutions while working remotely. They typically work in fields like artificial intelligence, machine learning, software development, or scientific research. Their responsibilities include designing experiments, analyzing data, and collaborating with teams using digital communication tools. This role requires strong problem-solving skills, self-motivation, and proficiency in programming or research methodologies. Remote Research Engineers often contribute to cutting-edge advancements while maintaining flexibility in their work environment.

What skills and qualifications are needed to thrive as a remote research engineer?

A Remote Research Engineer typically needs a strong background in scientific research methods, programming, data analysis, and a relevant degree in engineering or a related field. Familiarity with statistical software, cloud-based collaboration tools, and experience with programming languages such as Python or MATLAB are often required, with additional certifications in machine learning or data science considered advantageous. Excellent written and verbal communication, problem-solving abilities, and self-motivation are key soft skills for success in remote environments. These competencies enable effective independent work, high-quality research output, and seamless collaboration within distributed teams.

What are some unique challenges faced by remote research engineers and how can they be overcome?

Remote Research Engineers often encounter challenges related to collaborating across different time zones, ensuring clear communication, and maintaining access to necessary data or computational resources. To overcome these issues, it's important to leverage project management tools, establish regular virtual meetings, and proactively document and share research findings with the team. Strong time management and self-discipline are also essential to balance deep-focus research tasks with collaborative discussions. Organizations usually provide virtual platforms and cloud infrastructure to support seamless work, but developing personal workflows for communication and resource access can further enhance effectiveness in the role.

Do you need a PhD to be a remote research engineer?

A PhD is not strictly required to be a remote research engineer, but many roles prefer candidates with advanced degrees in relevant fields such as engineering, computer science, or data science. Practical experience, strong technical skills, and proficiency with research tools and programming languages are often more important for these positions.

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

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

What are popular job titles related to Remote Research Engineer jobs in Tucson, AZ?

For Remote Research Engineer jobs in Tucson, AZ, the most frequently searched job titles are:

What job categories do people searching Remote Research Engineer jobs in Tucson, AZ look for?

The top searched job categories for Remote Research Engineer jobs in Tucson, AZ are:

What cities near Tucson, AZ are hiring for Remote Research Engineer jobs?

Cities near Tucson, AZ with the most Remote Research Engineer job openings:

Remote Research Engineer jobs near you

Postdoctoral Research Associate

University of Arizona

Tucson, AZ • Remote

Full-time

Re-posted 18 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 630 rated colleges and universities

Job description

  • Design emotional intelligence training materials.
  • Write protocols, reports, and grants.
  • Oversee overall study coordination including subject recruitment, research technician training and education.
  • Administer emotional, personality, and psychophysiological assessments.
  • Conduct statistical analysis of behavioral, psychophysiological, and neuroimaging data.
  • Publish findings in peer-reviewed journals, conference proceedings, and other venues.
  • Travel and assist with aspects of project that are conducted at remote sites, as necessary, and various other duties or projects as assigned.

Knowledges, Skills, and Abilities:

  • Technological knowledge base in graphic design, computer programming and/or user interface design.
  • Skilled in developing web-based intervention platforms.
  • Background in computational methods used in neuroimaging (e.g., Matlab, UNIX, LINUX, C/C++, SPM, AFNI, Freesurfer, FSL, TrackVis,CONN).
  • Exceptional skills in experimental design, quantitative methods, and statistical analysis, and the ability to carry out independent data manipulation and sophisticated statistical analyses using standard software packages (e.g., SPSS, R, STATA, BMDP, JMP, SAS).

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