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Research Assistant Software Developer Jobs in Layton, UT

Guru Technologies

Senior C# Software Developer

Layton, UT · On-site

$49.50 - $65.50/hr

Use AI coding assistants and agents for appropriate tasks such as planning, implementation, testing ... Engineers remain accountable for the software they deliver. Required Qualifications * Five or more ...

Guru Technologies

Senior C# Software Developer

Layton, UT · On-site

$49.50 - $65.50/hr

Use AI coding assistants and agents for appropriate tasks such as planning, implementation, testing ... Engineers remain accountable for the software they deliver. Required Qualifications * Five or more ...

Smule

Internship - Research Engineer

Salt Lake City, UT · On-site

$85 - $120/hr

The ideal candidate is a skilled software engineer with genuine curiosity about ML research, deep systems knowledge, and a talent for making researchers more productive. We strongly encourage ...

Draper

Senior Software Engineer

Clearfield, UT · On-site

$115K - $151K/yr

Draper is an independent, nonprofit research and development company headquartered in Cambridge, MA. The Software Engineer (SMTS) works on mission-oriented projects, developing functional, scalable ...

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All JobsResearch Software Developer JobsResearch Assistant Software Developer JobsResearch Assistant Software Developer Jobs in Layton, UT

Research Assistant Software Developer information

See Layton, UT salary details

$26.8K

$91.1K

$219.4K

How much do research assistant software developer jobs pay per year?

As of Sep 2, 2026, the average yearly pay for research assistant software developer in Layton, UT is $91,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $96,300.00 per year, depending on experience, location, and employer.

What is a research assistant software developer?

Research Assistant Software Developers are professionals who support research projects by developing, maintaining, and optimizing software tools and applications. They work alongside researchers, helping to design experiments, process data, and create algorithms or simulations necessary for the research. Their role bridges the gap between software engineering and academic research, ensuring that technical solutions meet the specific needs of scientific studies. This position often requires strong programming skills, familiarity with research methodologies, and the ability to collaborate in interdisciplinary teams.

What are some common challenges faced by research assistant software developers when working on interdisciplinary research projects?

Research Assistant Software Developers often collaborate with researchers from diverse academic backgrounds, which can introduce challenges in communication and aligning technical requirements with research goals. Adapting software solutions to evolving project needs and integrating new methodologies or datasets can require quick learning and flexibility. Balancing rigorous coding standards with rapid prototyping, especially under tight research deadlines, is another frequent challenge. However, this role provides valuable exposure to cutting-edge research and fosters strong problem-solving and teamwork skills.

What are the key skills and qualifications needed to thrive as a research assistant software developer, and why are they important?

A Research Assistant Software Developer should have solid programming skills, a background in computer science or a related field, and experience with software development methodologies. Familiarity with tools like Git, Python or Java, and data analysis libraries, as well as knowledge of research-specific platforms, is commonly required. Strong analytical thinking, attention to detail, and effective communication are valuable soft skills in this role. These skills ensure the development of robust research software, facilitate collaboration with research teams, and contribute to the advancement of scientific projects.

What is the difference between Research Assistant Software Developer vs Data Analyst?

AspectResearch Assistant Software DeveloperData Analyst
Required CredentialsBachelor's in CS, Software Engineering, or related fieldBachelor's in Statistics, Data Science, or related field
Work EnvironmentResearch labs, academic institutions, tech companiesBusiness, finance, healthcare, or tech industries
Employer & Industry UsageUniversities, research institutions, tech firmsCorporations, consulting firms, government agencies
Common Search & ComparisonYesYes

The main difference between a Research Assistant Software Developer and a Data Analyst lies in their focus areas. Research Assistant Software Developers primarily work on developing software tools for research purposes, often within academic or research settings. Data Analysts focus on interpreting data to inform business decisions. Both roles require programming skills and analytical thinking, but their end goals and work environments differ.

What cities near Layton, UT are hiring for Research Assistant Software Developer jobs?

Cities near Layton, UT with the most Research Assistant Software Developer job openings:

Research Assistant Software Developer jobs near you

Senior C# Software Developer

Guru Technologies

Layton, UT • On-site

$49.50 - $65.50/hr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 14 days ago

Job description

Senior C# / .NET Software Engineer
Job Description
Compensation: Competitive, based on experience
Type: Full-time
Schedule: Flexible hours
Work Arrangement: Hybrid, with three days per week in our Layton office
Location: Layton, Utah
About Guru Technologies
Guru Technologies is a Utah-based software engineering and technology consulting firm helping organizations solve complex business challenges through custom software development, artificial intelligence, cloud engineering, data & analytics, quality engineering, DevOps, mobile applications, enterprise integrations, and digital transformation.
For over 20 years, we've partnered with organizations ranging from innovative startups to Fortune 500 enterprises. Our mission is simple: build exceptional technology while creating long-term partnerships built on trust, technical excellence, and measurable business outcomes.
At Guru, you'll work alongside experienced software engineers, architects, designers, and technology leaders who are passionate about solving meaningful business challenges. We believe our people are our greatest asset and are committed to creating an environment where collaboration, continuous learning, and long-term career growth thrive.
About the Role
Guru Technologies is looking for an experienced C#/.NET software engineer who can design, build, and deliver reliable software using both strong engineering fundamentals and modern AI-assisted development tools.
This role is not primarily about memorizing syntax or framework trivia. AI can now generate substantial amounts of code, but experienced engineers are still needed to understand the business problem, design the right system, direct the work, identify risks, and verify that the final result is secure, maintainable, and production-ready.
We are looking for someone with a strong systems-engineering mindset who can take an unclear or complex problem, develop a sound technical approach, break it into manageable pieces, and use both people and AI agents effectively.
Hands-on exposure to tools such as Codex, Claude Code, GitHub Copilot, Cursor, or similar solutions is expected. These tools are new, so we do not require years of experience with them. We do expect candidates to demonstrate meaningful experimentation and explain how they have used AI to solve real engineering problems.
Key Responsibilities
  • Design, develop, test, deploy, and maintain software using C#, ASP.NET Core, .NET, APIs, relational databases, and related web technologies.
  • Participate in the full software lifecycle, from requirements and architecture through deployment and production support.
  • Translate business needs into clear technical plans, system designs, data models, APIs, and acceptance criteria.
  • Evaluate tradeoffs involving scalability, security, performance, cost, complexity, and maintainability.
  • Use AI coding assistants and agents for appropriate tasks such as planning, implementation, testing, debugging, refactoring, documentation, and code review.
  • Provide AI agents with clear context, constraints, architectural direction, and expected outcomes.
  • Review and validate AI-generated code rather than accepting it at face value.
  • Identify hallucinations, incomplete implementations, unnecessary complexity, security risks, and regressions.
  • Implement and maintain CI/CD pipelines, cloud deployments, infrastructure, monitoring, and production systems.
  • Collaborate with engineers, designers, project managers, and clients.
  • Mentor less-experienced developers and help improve engineering practices across the team.
  • Occasionally contribute to front-end applications using HTML, CSS, TypeScript, React, Angular, or similar technologies.

AI tools are expected to improve your output, not replace your judgment. Engineers remain accountable for the software they deliver.
Required Qualifications
  • Five or more years of professional software engineering experience.
  • Strong experience with C#, .NET, ASP.NET Core, APIs, and relational databases.
  • Experience designing and delivering production software from initial concept through deployment.
  • Strong understanding of architecture, data modeling, API design, testing, debugging, source control, and software security.
  • Ability to understand complex interactions across applications, databases, cloud infrastructure, and third-party systems.
  • Experience with AWS, Microsoft Azure, or a comparable cloud platform.
  • Familiarity with Git, pull requests, code review, automated testing, and CI/CD.
  • Hands-on exposure to at least one modern AI-assisted or agentic development tool.
  • Ability to demonstrate how you have used AI to investigate, design, implement, test, debug, or improve software.
  • Ability to critically review AI-generated output and verify that it works correctly.
  • Strong problem-solving, systems-thinking, communication, and organizational skills.
  • Ability to work independently with minimal direction while remaining collaborative and accountable.

We care more about engineering judgment, problem-solving, and the ability to validate results than memorized syntax or obscure framework knowledge.
Helpful Experience
  • Docker and containerized applications.
  • Infrastructure as code using AWS CDK, Terraform, CloudFormation, or similar tools.
  • AWS ECS, Fargate, Lambda, or comparable Azure services.
  • Domain-driven design, clean architecture, onion architecture, or similar approaches.
  • React, Angular, Vue, TypeScript, or other modern front-end technologies.
  • Distributed systems, queues, background processing, or microservices.
  • Legacy application modernization.
  • AI APIs, retrieval-augmented generation, structured outputs, tool use, or workflow automation.
  • Repository instructions, MCP integrations, reusable agent workflows, or multi-agent development.
  • Consulting, professional services, SaaS, construction technology, or enterprise software experience.
  • Experience working directly with clients to clarify requirements and recommend solutions.

Education
A bachelor's or master's degree in computer science, software engineering, or a related field is helpful but not required. Relevant experience and demonstrated ability are more important than a specific degree.
What We Offer
  • Competitive compensation based on experience and demonstrated capability.
  • Flexible working hours.
  • Hybrid work with three days per week in our Layton office.
  • Health, dental, and vision insurance.
  • Paid vacation, sick leave, and holidays.
  • 401(k) with company match.
  • Opportunities to work across a wide range of industries, products, and technologies.
  • Access to modern AI-assisted engineering tools.
  • A collaborative culture that values strong engineers, sustainable work, and long-term professional growth.

Applying
Please submit your resume and be prepared to discuss:
  • A significant system or feature you helped design and deliver.
  • A difficult technical tradeoff you made.
  • An AI-assisted development tool you have used.
  • A specific example of how you used it.
  • How you reviewed and validated the resulting work.

Applicants are not expected to be experts in every technology listed. We are looking for experienced engineers with strong fundamentals, sound judgment, practical AI exposure, and the ability to continue learning as software development evolves.

Apply