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Scientific Software Jobs (NOW HIRING)

Cadence Design Systems Inc.

$101K - $188K/yr

OpenEye, Cadence Molecular Sciences - a division of Cadence Design Systems - is an industry leader in computational molecular design through rapid, robust, and scalable software, consulting services ...

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$83.5K

$102.5K

$135.5K

How much do scientific software jobs pay per year?

As of Jun 19, 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.

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