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Scientific Software Developer Intern Jobs in Colorado

Specialized Software Developer: IV

Centennial, CO · On-site

$53.75 - $71/hr

Education & Experience • Bachelors degree in Computer Science, Software Engineering, Information Systems, related field or equivalent professional experience. • 5+ years of hands on software ...

Senior Software Developer

Louisville, CO · On-site

$117.91K - $144.17K/yr

Bachelor's degree in Computer Science, Software Engineering, or a related field * Working understanding of JavaScript / TypeScript / Node.js * Hands-on experience with CI/CD pipelines and tools such ...

Senior Software Developer

Louisville, CO · On-site

$117.91K - $144.17K/yr

Bachelor's degree in Computer Science, Software Engineering, or a related field * Working understanding of JavaScript / TypeScript / Node.js * Hands-on experience with CI/CD pipelines and tools such ...

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Scientific Software Developer Intern information

See Colorado salary details

$12

$24

$41

How much do scientific software developer intern jobs pay per hour?

As of Jun 1, 2026, the average hourly pay for scientific software developer intern in Colorado is $24.07, according to ZipRecruiter salary data. Most workers in this role earn between $19.47 and $25.53 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Scientific Software Developer Intern, and why are they important?

To thrive as a Scientific Software Developer Intern, you need a solid background in computer science or a related field, strong programming skills (often in Python, C++, or Java), and familiarity with scientific computing concepts. Experience with version control systems (like Git), scientific libraries (such as NumPy or SciPy), and sometimes knowledge of Linux environments or HPC systems is typically required. Analytical thinking, problem-solving abilities, and effective teamwork are vital soft skills that set candidates apart. These competencies ensure you can efficiently contribute to research-driven software projects, collaborate with scientists, and develop robust scientific applications.

How does a Scientific Software Developer Intern typically collaborate with researchers and other developers during a project?

As a Scientific Software Developer Intern, you will often work closely with research scientists to understand their computational needs and translate those requirements into software solutions. Collaboration usually involves participating in team meetings, clarifying project specifications, and regularly updating progress through code reviews or documentation. You may also pair with experienced developers to learn best practices, troubleshoot issues, and integrate your work with larger codebases. This collaborative environment helps you build both technical and communication skills while ensuring the software meets scientific objectives.

What does a Scientific Software Developer Intern do?

A Scientific Software Developer Intern assists in designing, developing, and maintaining software applications used for scientific research and data analysis. They typically work under the guidance of senior developers or scientists, contributing to coding, debugging, and testing software tools. The role often involves collaborating with researchers to understand their computational needs and implementing features that facilitate scientific experiments or simulations. Interns may also be involved in documentation and optimizing existing code for better performance. This position is ideal for students or recent graduates interested in combining software development skills with scientific problem-solving.

What is the difference between Scientific Software Developer Intern vs Data Scientist Intern?

AspectScientific Software Developer Intern

The Scientific Software Developer Intern typically focuses on developing and maintaining scientific applications, often requiring programming skills in languages like Python, C++, or Fortran, and a background in science or engineering. They work in research labs, academia, or industry settings on data analysis, simulation, or modeling projects.

In contrast, a Data Scientist Intern primarily analyzes large datasets, builds predictive models, and uses statistical tools and machine learning techniques. They often have expertise in Python, R, SQL, and data visualization tools, working in tech companies, finance, or consulting firms.

While both roles involve programming and data handling, the Scientific Software Developer Intern emphasizes scientific computing and simulation, whereas the Data Scientist Intern focuses on data analysis and insights.

What are the most commonly searched types of Scientific Software Developer jobs in Colorado? The most popular types of Scientific Software Developer jobs in Colorado are:
What are popular job titles related to Scientific Software Developer Intern jobs in Colorado? For Scientific Software Developer Intern jobs in Colorado, the most frequently searched job titles are:
What job categories do people searching Scientific Software Developer Intern jobs in Colorado look for? The top searched job categories for Scientific Software Developer Intern jobs in Colorado are:
What cities in Colorado are hiring for Scientific Software Developer Intern jobs? Cities in Colorado with the most Scientific Software Developer Intern job openings:
Front End Software Developer

Front End Software Developer

Logistics Management Institute

Colorado Springs, CO • On-site, Remote

$101.14K - $174.59K/yr

Full-time

Posted 18 days ago


Job description

LMI is seeking a Senior Front-End Software Developer to support the development of user interfaces and visualization capabilities for LMI’s Modeling, Simulation, Prototyping, Wargaming, & Analysis platform, RAPTR. This role focuses on enabling analysts, data scientists, and decision-makers to interact with, explore, and understand complex analytical outputs related to future space architectures.

You will design and implement intuitive, high-performance interfaces that transform modeling and simulation results into clear, actionable insights. This role also supports the potential evolution of these capabilities into a standalone analytical tool, requiring a strong understanding of scalable, modular front-end architecture.

This position is ideal for a developer who enjoys working at the intersection of data visualization, user experience, and analytical workflows, and who can translate complex data into meaningful user interactions.

On-site or local support in Colorado Springs is preferred; remote options may be available for the ideal candidate.

LMI is a new breed of digital solutions provider dedicated to accelerating government impact with innovation and speed. Investing in technology and prototypes ahead of need, LMI brings commercial-grade platforms and mission-ready AI to federal agencies at commercial speed.

Leveraging our mission-ready technology and solutions, proven expertise in federal deployment, and strategic relationships, we enhance outcomes for the government, efficiently and effectively. With a focus on agility and collaboration, LMI serves the defense, space, healthcare, and energy sectors—helping agencies navigate complexity and outpace change. Headquartered in Tysons, Virginia, LMI is committed to delivering impactful results that strengthen missions and drive lasting value.


  • Design and develop user interfaces and dashboards that support exploration of modeling, simulation, and trade study results
  • Translate analytical outputs into intuitive visualizations, including charts, maps, timelines, and comparative views
  • Collaborate with analysts, data scientists, and backend developers to ensure data is accurately and effectively presented
  • Build and maintain front-end components and frameworks that support scalable, reusable UI development
  • Implement interactive features that enable users to filter, compare, and analyze scenarios and architectures
  • Ensure performance and responsiveness when handling large or complex datasets
  • Contribute to the design of user workflows, ensuring the interface aligns with how analysts and decision-makers operate
  • Support integration with backend APIs and services
  • Apply best practices in UI/UX design, accessibility, and maintainability
  • Contribute to the potential development of a standalone analytical application, including modular UI architecture and component reuse

Required Qualifications

  • Bachelor’s degree in Computer Science, Software Engineering, or related technical field
  • 5–10 years of experience in front-end software development
  • Proficiency in modern JavaScript frameworks such as React, Angular, or Vue.js
  • Strong skills in JavaScript, HTML, and CSS
  • Experience building data-driven user interfaces and dashboards
  • Familiarity with data visualization libraries such as D3.js, Chart.js, or similar
  • Experience integrating front-end applications with RESTful APIs
  • Strong understanding of UI/UX principles and responsive design
  • Ability to work in a fast-paced, evolving environment with loosely defined requirements
  • Strong communication and collaboration skills

Preferred Qualifications

  • Experience supporting analytical platforms, modeling & simulation tools, or decision-support systems
  • Familiarity with geospatial or time-series visualization (e.g., map-based interfaces, timeline analysis)
  • Experience working with large or complex datasets in a front-end environment
  • Exposure to space domain applications or defense-related systems
  • Experience contributing to or building standalone web applications or products
  • Familiarity with modern front-end build tools and state management frameworks
  • Active TS/SCI clearance

Security Clearance Requirements

Candidate must be eligible to obtain a TS/SCI clearance and willingness to obtain a CI Poly. Candidates with an active TS/SCI or TS with SCI eligibility will be given preference.

Target salary range: $101,144 - $174,591

Disclaimer: The salary range displayed represents the typical salary range for this position and is not a guarantee of compensation. Individual salaries are determined by various factors including, but not limited to location, internal equity, business considerations, client contract requirements, and candidate qualifications, such as education, experience, skills, and security clearances.

#LI-SH1

Applicants must meet eligibility requirements for a U.S. Government security clearance. Only US Citizens are eligible for a security clearance. For this position, LMI will only consider applicants with security clearances or applicants who are eligible for security clearances, due to the nature of the work.