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Scientific Software Jobs (NOW HIRING)

... 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 ...

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 ...

... 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 ...

... 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 ...

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 ...

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Scientific Software information

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$83.5K

$102.5K

$135.5K

How much do scientific software jobs pay per year?

As of Jul 29, 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:
Infographic showing various Scientific Software job openings in the United States as of July 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 82% Physical, 3% Hybrid, and 15% Remote job distribution, with an average salary of $102,500 per year, or $49.3 per hour.

Scientific Software Developer - Affinity

OpenEye Scientific

Santa Fe, NM • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

This job post has expired today. Applications are no longer accepted.


Job description

Over the last eight years, OpenEye Scientific has developed the field's most advanced large-scale compute platform, Orion, built on Amazon Web Services. In this position, you will be working at the cutting edge of cloud computing, C++/Python development, and advanced MD simulation techniques. Your work will have the potential to make a major impact in drug discovery, and will be available to many pharmaceutical and biotech companies.
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 & design services for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. We are passionate about science and about taking care of our team members, with leaders supporting your development and recognizing your contributions by providing an unmatched total compensation package in a collaborative, caring, energetic and fun work environment.
The Affinity Group at OpenEye seeks to hire a scientific software developer to join a growing team delivering Molecular Dynamics (MD) based solutions for predicting protein-ligand binding affinities. Within OpenEye's Cloud-based platform Orion, our team has already delivered to our clients massively parallel Relative Binding Free Energy (RBFE) tools capable of calculating affinities on dozens of ligands in only hours, using hundreds of GPUs. We are also developing faster, higher throughput MD-based prescreening approaches to use upstream of the heavier free energy methods. With your experience in MD and programming, you will help us to extend our capabilities in this area, making both our science and our tools better: more robust, more accurate, and more efficient. The work you do will have a high impact, contributing to the science of many organizations, both industry-based and academic. In this you will be collaborating with experienced scientific developers with expertise in small molecule drug discovery and long track records of delivering useful solutions and liaising with academic collaborators in the simulations community.
Please include a cover letter.
What you should have:
  • PhD. with PostDoc in an area related to structure-based ligand design methods.
  • 3 or more years of experience in scientific programming with Python.
  • 3 or more years of experience with Molecular Dynamics including Free Energy Calculations.
  • Experience in computational chemistry methods development, implementation, and validation
  • Team-oriented with good communication skills and professional scientific presentation skills.
  • Ability and desire to learn new ideas and adapt to new development practices

The following are a PLUS, but not required:
  • Knowledge & skill in programming and professional software development practices & tools
  • Experience with a multi platform and/or distributed computing environment including cloud computing.
  • Knowledge of chemistry and/or drug discovery & development

Benefits:
OpenEye is passionate about the welfare of its employees and offers competitive benefits that include medical, dental, vision, flexible working schedule, 401k retirement plans, paid vacation, paid sick leave, home internet costs, public transportation reimbursement, and much more.
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