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Research Assistant Software Developer Jobs in Bountiful, UT

Senior Software Engineer

Draper, UT

$114K - $151K/yr

Use AI coding assistants, automated testing, and modern tooling as a core part of your daily ... Solid understanding of Agile, DevOps, CI/CD, and delivery management practices such as sprint ...

Position: Software Engineer I Employment Status: Exempt, Full Time Location: Salt Lake City ... Our platform helps researchers identify promising targets early in the drug discovery process ...

New

Overview: Draper is an independent, nonprofit research and development company headquartered in ... Software Engineers work on multiple projects in an Agile environment, converting customer ...

Overview: Draper is an independent, nonprofit research and development company headquartered in ... Software Engineers work on multiple projects in an Agile environment, converting customer ...

Showing results 41-60

Research Assistant Software Developer information

See Bountiful, UT salary details

$27.8K

$94.5K

$227.7K

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 Bountiful, UT is $94,517.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $99,900.00 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 job categories do people searching Research Assistant Software Developer jobs in Bountiful, UT look for?

The top searched job categories for Research Assistant Software Developer jobs in Bountiful, UT are:

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

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

Infographic showing various Research Assistant Software Developer job openings in Bountiful, UT as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 87% Physical, 4% Hybrid, and 9% Remote job distribution, with an average salary of $94,517 per year, or $45.4 per hour.

Senior Software Engineer

Outcode Software

Draper, UT

$114K - $151K/yr

Full-time

Re-posted 20 days ago


Job description

Description

We’re looking for a Senior Software Engineer to join our delivery team as a hands-on technical leader with a strong product mindset and a direct line to our clients. In this role, you will own meaningful parts of what we build, design and ship production-grade software across the stack, and use modern AI tooling to accelerate delivery without cutting corners. Operating as a senior contributor, you will thrive in an environment that values technical ownership, clear client communication, and a strategic approach to engineering that focuses on solving real business problems rather than just closing tickets.

Responsibilities

You’ll work closely with US-based clients and delivery managers to translate business requirements into robust technical plans, ensuring high-quality execution and end-to-end feature ownership.

Development, Maintenance & Operations
  • Design, build, and ship production software across the full stack, owning features from inception to deployment.
  • Use AI coding assistants, automated testing, and modern tooling as a core part of your daily workflow to raise development speed and code quality.
  • Support incident response and root-cause analysis for the systems you own, implementing long-term solutions to prevent recurrence.
Project Lifecycle, Delivery & Client Communication
  • Work directly with US-based clients on live calls, translating their business needs into technical plans, managing expectations, and communicating progress and trade-offs clearly.
  • Partner with delivery managers on scoping, estimation, sprint planning, and risk-flagging, carrying delivery-management responsibility for your workstreams.
  • Bring a product mindset to the development lifecycle: question requirements constructively, propose better solutions, and prioritize features that drive actual value for the client and end users.
Leadership, Mentorship & Best Practices
  • Conduct in-depth code reviews and provide technical guidance to the team, serving as the go-to resource to unblock complex challenges and hit deadlines.
  • Champion engineering best practices, helping to adopt and apply the guidelines and standards set by the Director of Engineering across all projects.
  • Mentor and coach mid-level engineers, actively contributing to ongoing training, documentation, and knowledge-sharing to elevate the team's capabilities.
Qualifications
  • 5+ Years of Experience: A proven track record of designing, building, and shipping production systems in professional software engineering environments.
  • Full-Stack & Stack Fundamentals: Solid fundamentals across at least one major stack (e.g., JavaScript/TypeScript, Python, or similar), including hands-on experience with APIs, databases, and cloud infrastructure.
  • AI-Driven Development: Strong working knowledge and daily use of AI-enabled engineering tools (prompting, code review, automation, and guardrails) to streamline workflows and eliminate repetitive work.
  • Client-Facing Fluency: Native or fully fluent English with exceptional communication skills, comfortable acting as the primary technical voice in front of US-based clients.
  • Delivery Mechanics: Solid understanding of Agile, DevOps, CI/CD, and delivery management practices such as sprint planning, estimation, and keeping commitments visible.
You'd be a poor fit if:
  • You view yourself strictly as a "ticket taker" and prefer executing requirements exactly as written without questioning the business context or product impact.
  • You are uncomfortable speaking directly with clients, managing expectations, or handling the delivery-management aspects of your workstream.
  • You resist adopting AI coding assistants or automation scripting, preferring to absorb repetitive development and testing tasks manually.
  • You prefer working in isolation rather than mentoring mid-level peers, conducting thorough code reviews, and collaborating to unblock the team.
What you’ll love about us
  • A dynamic environment where you have a direct impact on product direction and client success.
  • A forward-thinking engineering culture that embraces modern AI tools to maximize efficiency and eliminate friction.
  • Opportunities for professional growth, technical leadership, and direct mentorship within a highly collaborative global team.

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