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Scientific Software Developer Intern Jobs in Santa Fe, NM

Danaher

Software Engineer Internships

Santa Fe, NM · On-site

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software ...

Danaher

Software Engineer Internships

Santa Fe, NM

As a Software Engineering Intern at Danaher, you'll work alongside experienced engineers developing ... Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software ...

Stryker

Data Science Intern - Remote

Santa Fe, NM · On-site

$35/hr

As an intern, you won't just observe -- you'll contribute to meaningful projects, gain exposure to ... Engineering, Computer Science, Software Engineering, Supply Chain Management/Logistics, Finance ...

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Danaher

Software Automation Internships

Santa Fe, NM · On-site

... sciences space? As an Automation Engineering Intern at Cytiva (a Danaher company), you would help ... Troubleshooting system and software issues Collaborating with cross-functional teams on ...

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Scientific Software Developer Intern information

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

As of Sep 4, 2026, the average hourly pay for scientific software developer intern in Santa Fe, NM is $22.47, according to ZipRecruiter salary data. Most workers in this role earn between $18.17 and $23.85 per hour, depending on experience, location, and employer.

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 are the key skills and qualifications needed to thrive as a scientific software developer intern?

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 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 Santa Fe, NM?

The most popular types of Scientific Software Developer jobs in Santa Fe, NM are:

Scientific Software Developer Intern jobs near you

Lead Scientific Developer - Biologics & Protein Design

OpenEye Scientific

Santa Fe, NM • On-site

Full-time

Re-posted 12 days ago

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.
*****This Position is On-site in our Santa Fe, NM Office*****
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, and Orion®, the only cloud-native fully integrated software-as-a-service molecular modeling platform. Combining unlimited computation and storage with powerful tools for data sharing, visualization and analysis in a customizable development platform, Orion offers unprecedented capabilities for the advancement of pharmaceuticals, biologics, agrochemicals, and flavors and fragrances. OpenEye, Cadence Molecular Sciences is headquartered in Santa Fe, N.M., with offices in Boston, Mass.; Cologne, Germany; and Tokyo, Japan.
We are looking for a lead scientific software developer to join a growing team of experts working on biologics and protein design. The highly focused team will work together to drive forward technologies which leverage AI and OpenEye's long standing 3D modeling capabilities in our cloud platform, Orion. The team's guiding principle is to deliver solutions that better enable scientists in the pharmaceutical and biotech industries to develop next generation biologic medicines.
*****This Position is On-site in our Santa Fe, NM Office*****
What you'll do:
  • Work on challenging problems and help find practical solutions that advance the field of computational biologics drug discovery
  • Develop highly scalable and integrated solutions for biologics drug discovery in the cloud
  • Develop data-driven models using sequence and 3D molecular shape representations leveraging AI and physics-based approaches
  • Expand OpenEye's biomolecular modeling and protein informatics technologies
  • Collaborate with great colleagues within our group, within OpenEye & Cadence, as well as within the broader pharmaceutical industry on developing new methods, tools, and solutions

What you should have:
  • *****This Position is On-site in our Santa Fe, NM Office*****
  • PhD (or equivalent experience) in computational chemistry, structural biology, biochemistry, or related field with a least 5 years relevant experience
  • Strong desire to change the field of biologics drug discovery through hard work, creating robust software tools, and critical scientific evaluation.
  • Demonstrated ability to work both independently and as part of a team. Ability to work humbly with others, admitting mistakes and constructively working through differences in opinion.
  • Experience with molecular dynamics simulations and machine learning
  • Programming expertise, ideally in Python, preferably with experience using AI coding agents
  • Proven track record of delivering software solutions

The following are a PLUS, but not required:
  • Expertise with traditional machine learning and/or modern deep learning methods
  • Experience with OpenEye software/toolkits or other computational chemistry toolkits
  • Experience with protein language models and protein folding technologies
  • Experience with modeling antibodies based on sequence and structural data

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