ZipRecruiter

Log In

1

Scientific Software Jobs (NOW HIRING)

Team Red Dog

Scientific Software Engineer

Redmond, WA · On-site

Team Red Dog is hiring a Scientific Software Engineer for our client, a Fortune 50 technology leader and AI-driven technology organization. In this role, you'll develop customer-facing software ...

OpenEye Scientific

OpenEye, Cadence Molecular Sciences, an industry leader in computational molecular design, uses a scientific approach to deliver rapid, robust, and scalable software, toolkits, and technology ...

Cgg

Scientific Software Developer

Houston, TX · Hybrid

... core software for Viridien's proprietary high-performance computing applications on GPU and CPU architectures, this position requires a deep understanding of computational science (especially ...

Viridien

Scientific Software Developer

Houston, TX · Hybrid

... core software for Viridien's proprietary high-performance computing applications on GPU and CPU architectures, this position requires a deep understanding of computational science (especially ...

Viridien

Scientific Software Developer

Houston, TX · Hybrid

... core software for Viridien's proprietary high-performance computing applications on GPU and CPU architectures, this position requires a deep understanding of computational science (especially ...

next page

Showing results 1-20

All JobsScientific Software Jobs

Scientific Software information

See salary details

$83.5K

$102.5K

$135.5K

How much do scientific software jobs pay per year?

As of Jul 9, 2026, the average yearly pay for scientific software in the United States is $102,500.00, according to ZipRecruiter salary data. Most workers in this role earn between $90,000.00 and $115,000.00 per year, depending on experience, location, and employer.

How does a Scientific Software professional typically collaborate with domain scientists and research teams?

Scientific Software professionals often work closely with domain scientists, researchers, and data analysts to develop and maintain tools that enable scientific discovery. Collaboration usually involves requirements gathering, iterative feedback on prototypes, and integrating scientific algorithms into user-friendly applications. Effective communication skills are crucial, as you’ll be translating complex scientific needs into robust, efficient code and ensuring the software meets both research objectives and usability standards. Team environments tend to be interdisciplinary, offering the opportunity to learn from experts in various scientific fields while contributing your technical expertise.

What are the key skills and qualifications needed to thrive in Scientific Software roles, and why are they important?

To excel in Scientific Software roles, you need a strong background in computer science, mathematics, or a scientific discipline, along with demonstrated programming proficiency (often in Python, C++, or MATLAB). Familiarity with version control systems (like Git), scientific computing libraries, and sometimes specialized tools (e.g., HPC clusters or cloud platforms) is typically expected. Strong analytical thinking, problem-solving, and effective communication skills help bridge the gap between scientific users and technical implementation. These skills ensure the creation of robust, efficient, and user-friendly software that accelerates scientific research and discovery.

What is a scientific software developer?

A scientific software developer is a professional who designs, creates, and maintains software tools and applications used for scientific research and data analysis. These developers work closely with scientists and researchers to translate complex scientific problems into computational solutions. Their work often involves programming, algorithm development, and optimizing code for high-performance computing environments. Scientific software developers play a critical role in fields like physics, biology, chemistry, and engineering by enabling researchers to process and visualize large datasets, simulate experiments, and gain insights from data.

What is the difference between Scientific Software vs Data Analyst?

AspectScientific SoftwareData Analyst
Required CredentialsTypically requires degrees in science, engineering, or computer science; coding skillsUsually requires degrees in statistics, mathematics, or related fields; strong analytical skills
Work EnvironmentResearch labs, scientific institutions, academia, industry R&DBusiness, finance, healthcare, marketing sectors
Employer & Industry UsageUsed by scientists and engineers for simulations, modeling, data analysisUsed by companies for data interpretation, reporting, decision-making

Scientific Software professionals focus on developing and utilizing specialized tools for scientific research and simulations, often working in research environments. Data Analysts interpret data to inform business decisions across various industries. While both roles require analytical skills and familiarity with data, Scientific Software roles emphasize scientific computing and programming, whereas Data Analysts focus on data interpretation and visualization.

More about Scientific Software jobs
What cities are hiring for Scientific Software jobs? Cities with the most Scientific Software job openings:
What states have the most Scientific Software jobs? States with the most job openings for Scientific Software jobs include:
What job categories do people searching Scientific Software jobs look for? The top searched job categories for Scientific Software jobs are:
Scientific Software jobs near you
Scientific Software Engineer

Scientific Software Engineer

Team Red Dog

Redmond, WA • On-site

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago

Job description

Team Red Dog is hiring a Scientific Software Engineer for our client, a Fortune 50 technology leader and AI-driven technology organization. In this role, you'll develop customer-facing software, maintain GitHub repositories, and build reusable AI agents and community assets that support scientists and data scientists solving complex research challenges. You'll apply modern software engineering practices to scientific computing, machine learning, and simulation-based workflows while working with cutting-edge AI and LLM technologies. This position offers the opportunity to contribute to impactful research initiatives while helping establish best practices for AI-powered scientific software development.
Top Required Skills (Must Haves):
  1. GitHub & Version Control (1-2+ years): Experience maintaining GitHub repositories, managing customer-facing codebases, collaborating through version control, and publishing reusable software assets.
  2. AI, LLMs & Agentic AI (1-2+ years): Working knowledge of large language models, AI agents, APIs, MCP, and machine learning concepts used to develop intelligent software solutions.
  3. Scientific Software Development (1-2+ years): Experience applying software engineering practices to scientific computing, computational science, simulation, or research-based applications.
  4. Programming & Software Engineering: Strong coding skills with the ability to write maintainable, reusable code while supporting technical customers and collaborating with multidisciplinary engineering teams.

Opportunity Overview:
This team enables scientists and data scientists by developing software that accelerates research, experimentation, and AI-driven discovery. You'll own customer-facing GitHub repositories, write production-quality code, and create reusable software components that improve scientific workflows across machine learning, simulation, and computational science projects. If you enjoy solving challenging technical problems while working at the intersection of software engineering, AI, and scientific research, this role provides exceptional exposure to emerging technologies and real-world innovation.
How you will make an impact:
  • Develop, maintain, and own customer-facing GitHub repositories.
  • Write high-quality, reusable software that supports scientific and data science customers.
  • Build repeatable AI agents and publish reusable community assets that establish engineering best practices.
  • Collaborate with product teams to onboard and support customers.
  • Apply software engineering principles to scientific computing and computational research problems.
  • Support machine learning, AI, and simulation-related initiatives.
  • Troubleshoot software issues and implement technical improvements.
  • Contribute to coding standards, version control, and collaborative software development practices.

The expertise you bring:
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
  • 1-2+ years of experience using GitHub and modern version control practices.
  • 1-2+ years of experience working with AI, LLMs, APIs, MCP, or machine learning technologies.
  • 1-2+ years of experience applying software engineering practices within scientific computing, computational science, simulation, or related technical domains.
  • Strong programming and software development skills.
  • Experience troubleshooting technical issues and improving software quality.
  • Excellent verbal and written communication skills.
  • Ability to collaborate effectively with engineers, researchers, and technical customers.
  • GitHub portfolio demonstrating previous software development work.

What makes a candidate highly successful in this role:
Candidates who stand out have hands-on experience applying software engineering skills to scientific or research-focused environments rather than solely traditional application development. They demonstrate strong GitHub practices, understand modern AI and agentic AI technologies, and have experience building reusable software that supports machine learning, computational science, or simulation workflows. A portfolio of open-source contributions or customer-facing GitHub repositories, combined with curiosity for emerging AI technologies, will set candidates apart.
Why Work with Team Red Dog?
At Team Red Dog, people are at the heart of everything we do. Our commitment to personalized service and our deep experience in matching talented professionals with meaningful roles at some of the world's most inspiring companies is what sets us apart. We take the time to understand your unique skills, strengths, and passions-because we believe your career should reflect who you are.
Whether you're looking to grow, pivot, or simply find a place where your work truly matters, we offer opportunities that empower you to make a positive impact. With excellent benefits, a supportive team, and a role where you can thrive while doing what you love, we're here to help you take the next step with confidence. Join us-and discover what it means to be genuinely valued in your career.
Generous benefits package for qualified employees includes:
  • Health insurance (medical, dental, vision, and life)
  • Employer-matched 401K plan
  • Paid time off
  • Paid holidays

Estimated Start Date: Immediately
Location: Fully Remote (U.S.); West Coast preferred with flexibility to support PST, EST, or European collaboration.
Job #: 2554
Job Type and Estimated Duration: W2 contract opportunity through 12/31/2026 with potential for extension up to 18 months subject to performance, budget and client discretion.
Rate: $7,200/month
Team Red Dog is committed to providing equal opportunities to everyone, regardless of race, ethnicity, gender, age, religion, sexual orientation, disability, or any other characteristic. If you need accommodation during the recruitment process, reach out to hr@teamreddog.com, and we will work to ensure an accessible experience. We strictly adhere to federal, state, and local laws to maintain a workplace free from discrimination and harassment.
We offer competitive compensation aligned with U.S. industry standards, and our final offer will reflect the candidate's location, job-specific skills, experience, and knowledge.
  • All applicants must be authorized to work in the U.S. without the need for sponsorship.
  • Team Red Dog is an E-Verify employer.
  • Employment is contingent upon the successful completion of a reference and background check.
  • Please no solicitations from C2C or recruiting firms.

Apply