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Home Based Scientific Software Developer Jobs (NOW HIRING)

Deep Origin

Senior Scientific Developer

This is a hands-on role at the intersection of scientific computing and software engineering. You ... Develop and maintain Julia-based simulation and analysis packages for molecular systems (e.g ...

Navarro Inc.

Software Developer (3793)

Niskayuna, NY · On-site

Work will be largely focused on problem solving; software systems architecture, scientific programming; and requirements gathering across application developers, engineering users, and system ...

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Home Based Scientific Software Developer information

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$83.5K

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$135.5K

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

As of Jul 12, 2026, the average yearly pay for home based scientific software developer 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.

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 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 are the key skills and qualifications needed to thrive as a Home Based Scientific Software Developer, and why are they important?

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 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.
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Home Based Scientific Software Developer jobs near you

Lead Scientific Developer - Biologics & Protein Design

OpenEye, Cadence Molecular Sciences

Santa Fe, NM • On-site

Full-time

Posted 18 days ago

Job description

Job Summary:
OpenEye, Cadence Molecular Sciences is an industry leader in computational molecular design. The lead scientific software developer will work on biologics and protein design, developing scalable solutions and collaborating with industry experts to advance drug discovery.
Responsibilities:
• 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
Qualifications:
Required:
• PhD (or equivalent experience) in computational chemistry, structural biology, biochemistry, or related field with at 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
Preferred:
• 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
Company:
OpenEye, Cadence Molecular Sciences is an industry leader in computational molecular design based on decades of delivering rapid, robust, and scalable software, toolkits, and technology and design services across the drug discovery process. Founded in 1997, the company is headquartered in Santa Fe, USA, with a team of 51-200 employees. The company is currently Growth Stage.

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