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Remote Biotech Software Engineer Jobs in Seattle, WA

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer - Remote

Seattle, WA · Remote

$139K - $183K/yr

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

Software Engineer

Seattle, WA · Remote

$131K - $209K/yr

Accretive Technology Group -- Software Engineer Location -- This role is fully remote in the following states: Arizona, California, Colorado, Florida, Michigan, Missouri, Nevada, South Carolina ...

Software Engineer

Seattle, WA · On-site +1

$131K - $209K/yr

Accretive Technology Group - Software Engineer Location - This role is fully remote in the following states: Arizona, California, Colorado, Florida, Michigan, Missouri, Nevada, South Carolina, Texas ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Senior Software Engineer Job Type: Contractor (~15 hours/week) Location: Remote Job Summary We are seeking experienced Senior Software Engineers to support an AI training project by creating ...

Software Engineer

Seattle, WA · On-site +1

$146K - $235K/yr

What you'll do As a Full Stack Software Engineer at Docusign, you will be responsible for owning ... Employee divides their time between in-office and remote work. Access to an office location is ...

Software Engineer

Seattle, WA · On-site +1

$111K - $162K/yr

Employee divides their time between in-office and remote work. Access to an office location is ... years software engineering experience in a SaaS organization * 3+ years' experience building ...

Software Engineer

Seattle, WA · On-site +1

$111K - $162K/yr

What you'll do The Fullstack Software Engineer will own all aspects of the software development ... Employee divides their time between in-office and remote work. Access to an office location is ...

Remote About the Role micro1 is partnering with a leading AI lab to hire senior software engineers from top companies. You'll evaluate AI-generated code, create challenging engineering problems, and ...

Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

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Senior Software Engineer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn ...

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Showing results 1-20

Remote Biotech Software Engineer information

See Seattle, WA salary details

$72.3K

$167.9K

$233.9K

How much do remote biotech software engineer jobs pay per year?

As of Sep 13, 2026, the average yearly pay for remote biotech software engineer in Seattle, WA is $167,886.00, according to ZipRecruiter salary data. Most workers in this role earn between $136,600.00 and $196,900.00 per year, depending on experience, location, and employer.

What is a remote biotech software engineer?

A Remote Biotech Software Engineer is a professional who develops, maintains, and optimizes software applications for biotechnology companies while working outside of a traditional office setting, often from home or another remote location. Their work typically involves creating tools for bioinformatics, data analysis, laboratory automation, or clinical research, supporting scientists and researchers in the biotech field. These engineers use programming languages and frameworks to solve complex biological problems, ensure data integrity, and streamline research processes. The role requires strong technical skills, knowledge of biotechnology concepts, and the ability to collaborate virtually with multidisciplinary teams.

What are the key skills and qualifications needed to thrive as a remote biotech software engineer?

To thrive as a Remote Biotech Software Engineer, you need strong programming skills (such as Python, Java, or C++), a solid understanding of biology or bioinformatics, and a relevant degree in computer science, bioinformatics, or a related field. Familiarity with bioinformatics tools, cloud computing platforms (like AWS or Azure), and version control systems (such as Git) is typically required, along with experience using specialized biotech databases and APIs. Excellent problem-solving, self-motivation, and effective remote communication are crucial soft skills for collaborating with cross-functional teams and managing independent workloads. These competencies ensure reliable, innovative software solutions that advance biotech research and development while maintaining productivity in a remote work environment.

How does a remote biotech software engineer typically collaborate with cross-functional teams in a distributed work environment?

Remote Biotech Software Engineers often work closely with scientists, data analysts, and product managers through virtual collaboration tools such as Slack, Zoom, and project management platforms. Effective communication and regular updates are essential to ensure alignment on project goals, especially when integrating software solutions with laboratory workflows or bioinformatics pipelines. Engineers may participate in daily stand-up meetings, code reviews, and sprint planning sessions to stay connected and address challenges promptly. Building strong relationships remotely requires proactive engagement and clear documentation to bridge the gap between technical and scientific teams.

What is the difference between Remote Biotech Software Engineer vs Remote Bioinformatics Software Developer?

AspectRemote Biotech Software EngineerRemote Bioinformatics Software Developer
Required CredentialsBachelor's or Master's in Bioinformatics, Biotechnology, or Computer Science; coding skillsBachelor's or Master's in Bioinformatics, Computer Science, or related; programming experience
Work EnvironmentLaboratories, biotech companies, remote teamsResearch labs, biotech firms, remote collaboration
Industry UsageBiotech, pharmaceutical, healthcareGenomics, molecular biology, healthcare research

The main difference is that Remote Biotech Software Engineers focus on developing software for biotech applications, often working closely with lab teams, while Remote Bioinformatics Software Developers primarily analyze biological data and develop algorithms. Both roles require programming skills and are common in biotech industries, but their focus areas differ slightly.

What are the most commonly searched types of Biotech Software Engineer jobs in Seattle, WA?

The most popular types of Biotech Software Engineer jobs in Seattle, WA are:

What are popular job titles related to Remote Biotech Software Engineer jobs in Seattle, WA?

For Remote Biotech Software Engineer jobs in Seattle, WA, the most frequently searched job titles are:

What job categories do people searching Remote Biotech Software Engineer jobs in Seattle, WA look for?

The top searched job categories for Remote Biotech Software Engineer jobs in Seattle, WA are:

What cities near Seattle, WA are hiring for Remote Biotech Software Engineer jobs?

Cities near Seattle, WA with the most Remote Biotech Software Engineer job openings:

Infographic showing various Remote Biotech Software Engineer job openings in Seattle, WA as of September 2026, with employment types broken down into 72% Full Time, 19% Part Time, and 9% Contract. Highlights an 100% Remote job distribution, with an average salary of $167,886 per year, or $80.7 per hour.

AI Software Engineer - Remote

Seattle, WA • Remote

$80 - $120/hr

Full-time

Posted 17 days ago


Job description

Senior Software Engineer

Job Type: Contractor (~15 hours/week)
Location: Remote

Job Summary

We are seeking experienced Senior Software Engineers to support an AI training project by creating reinforcement learning environments that evaluate AI models on complex software engineering tasks using Model Context Protocol (MCP) tools.

You will design reproducible environments, deterministic verification, and reference solutions for tasks such as bug fixing, feature implementation, codebase refactoring, and performance optimization. No prior AI experience is required.

Key Responsibilities
  • Create reinforcement learning environments for software engineering tasks.
  • Design tasks involving bug fixing, feature development, refactoring, and performance optimization.
  • Build deterministic verification systems and golden reference solutions.
  • Evaluate AI agents' ability to reason through complex codebases and use MCP tools effectively.
  • Develop realistic, reproducible software engineering scenarios.
  • Ensure tasks accurately measure coding ability, problem-solving, and tool usage.
  • Document solutions and provide clear technical feedback.
Required Skills
  • Strong proficiency in Python 3, Java, Rust, C++, or TypeScript.
  • Strong understanding of algorithms and data structures.
  • Experience with bug fixing and debugging complex software issues.
  • Proven experience in feature implementation and codebase refactoring.
  • Strong knowledge of performance optimization and tuning.
  • Excellent written and verbal communication.
  • Strong attention to detail.
Preferred Qualifications
  • Experience working with large-scale or distributed codebases.
  • Familiarity with AI/ML systems is a plus but not required.
  • Experience with rigorous code reviews and software engineering best practices.
  • Experience working effectively in remote or cross-functional teams.
Hiring Process
  1. Submit an application and screening questions.
  2. Complete an AI interview (~30 minutes).
  3. Complete a technical assessment, if required.
  4. Hiring Manager review.
Compensation

Compensation is output-based, with payment provided per task that meets project specifications. Minimum weekly submission requirements may apply.

Availability

Selected experts should be prepared to begin their first tasks within 24–48 hours of completing onboarding.