ZipRecruiter

Log In

1

Home Based Scientific Software Developer Jobs in Santa Fe, NM

Danaher

Software Engineer Internships

Santa Fe, NM · On-site

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Danaher

Software Engineer Internships

Santa Fe, NM

Students graduating in 2026 or later with a Bachelor's degree in Computer Science, Software Engineering, Biomedical Engineering (with computational focus), or related field * Preference for students ...

Fab2

Software Engineer, AI Platform

Santa Fe, NM · On-site

$140 - $200/hr

Experience building AI agents, developer tools, evals, or ML infrastructure. * Hands-on work with ... Exposure to robotics, hardware, scientific computing, or automated experimentation. * Experience ...

Posted today

next page

Showing results 1-20

All JobsHome Based Scientific Software Developer JobsHome Based Scientific Software Developer Jobs in Santa Fe, NM

Home Based Scientific Software Developer information

See Santa Fe, NM salary details

$82K

$100.6K

$133K

How much do home based scientific software developer jobs pay per year?

As of Sep 4, 2026, the average yearly pay for home based scientific software developer in Santa Fe, NM is $100,617.00, according to ZipRecruiter salary data. Most workers in this role earn between $88,300.00 and $112,900.00 per year, depending on experience, location, and employer.

What is a home based scientific software developer?

A Home Based Scientific Software Developer is a professional who designs, develops, and maintains software tools used for scientific research and analysis, while working remotely from home. They often collaborate with scientists, researchers, and engineers to create programs that process data, simulate experiments, or visualize scientific phenomena. This role requires strong programming skills, knowledge of scientific principles, and the ability to work independently using remote communication tools. Home based roles offer flexibility, allowing developers to contribute to research projects and software solutions from anywhere. These professionals are essential in fields like bioinformatics, physics, chemistry, and environmental science.

What are the key skills and qualifications needed to thrive as a home based scientific software developer?

A Home Based Scientific Software Developer needs strong programming skills (often in Python, C++, or MATLAB), a solid background in mathematics or a scientific discipline, and typically at least a bachelor's degree in computer science, engineering, or a related field. Familiarity with scientific computing libraries, version control systems like Git, and experience with cloud-based or distributed computing platforms are commonly required. Excellent problem-solving abilities, self-motivation, and effective remote communication are vital soft skills for success in a home-based setting. These competencies ensure the developer can build reliable, efficient scientific software, collaborate virtually with researchers, and deliver solutions that advance scientific discovery.

What are some common challenges for home based scientific software developers and how can they be addressed?

Home-based scientific software developers often face challenges such as maintaining clear communication with research teams, managing time effectively without in-person supervision, and ensuring access to necessary computing resources. Overcoming these challenges typically involves using collaborative tools like version control systems (e.g., Git), regular video meetings, and cloud-based platforms for code sharing and testing. Establishing a structured daily routine and staying updated with scientific advancements also helps developers stay productive and connected with their team.

What is the difference between Home Based Scientific Software Developer vs Scientific Software Engineer?

AspectHome Based Scientific Software DeveloperScientific Software Engineer
CredentialsBachelor's or Master's in Computer Science, Physics, or related fieldsBachelor's or Master's in Computer Science, Engineering, or related fields
Work EnvironmentRemote, home-based setupTypically office or lab environment, but may include remote work
Industry UsageResearch institutions, academia, biotech, environmental agenciesResearch labs, industry R&D, government agencies
Common Search/ComparisonYesYes

The main difference is that a Home Based Scientific Software Developer primarily works remotely on scientific software projects, often in academia or research settings, while a Scientific Software Engineer may work in more traditional office or lab environments within industry or government. Both roles require similar educational backgrounds and skills, but their work settings and typical employers differ.

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:

Home Based Scientific Software Developer 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

We're doing work that matters. Help us solve what others can't.

Apply