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Remote Raytheon Software Engineer Jobs in Springfield, MO

micro1 AI

Bioinformatics Software Engineer

Springfield, MO · Remote

$80 - $110/hr

Remote micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer's computational drug discovery project. In this role, you'll apply your expertise ...

Next Level Solutions

Senior Developer - Policy

Springfield, MO · On-site +1

$46.50 - $61.50/hr

Solid understanding of software development life cycle, especially Agile environments * Experience ... Flexible work arrangements (remote or office-based in Springfield, MO; Puerto Rico; or Honduras)

All JobsRaytheon Software Engineer JobsRemote Raytheon Software Engineer JobsRemote Raytheon Software Engineer Jobs in Springfield, MO

Remote Raytheon Software Engineer information

See Springfield, MO salary details

$60.9K

$118K

$203.8K

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

As of Aug 18, 2026, the average yearly pay for remote raytheon software engineer in Springfield, MO is $117,959.00, according to ZipRecruiter salary data. Most workers in this role earn between $99,100.00 and $128,300.00 per year, depending on experience, location, and employer.

What is a remote Raytheon software engineer?

A Remote Raytheon Software Engineer is a software professional employed by Raytheon Technologies who works from a location outside of a traditional office, often from home. They are responsible for designing, developing, and maintaining software systems that support Raytheon's defense, aerospace, and cybersecurity projects. These engineers collaborate with teams using digital communication tools and adhere to strict security and quality standards. Remote roles may require secure network access and compliance with government regulations, especially for projects involving sensitive or classified information.

How does a remote Raytheon software engineer typically collaborate with cross-functional teams while working offsite?

Remote Raytheon Software Engineers work closely with multidisciplinary teams, including systems engineers, project managers, and cybersecurity specialists, primarily through virtual collaboration tools. Regular video meetings, code reviews, and shared project management platforms are used to maintain communication and alignment on project goals. Despite being remote, engineers are expected to proactively engage in team discussions, contribute to documentation, and participate in agile development sprints. Effective collaboration is key to ensuring that complex defense and aerospace software solutions are delivered on time and meet rigorous quality standards.

What are the key skills and qualifications needed to thrive as a remote Raytheon software engineer, and why are they important?

To thrive as a Remote Raytheon Software Engineer, you need a solid background in computer science or related fields, proficiency in programming languages like C++, Java, or Python, and often a security clearance. Familiarity with development tools such as Git, Jenkins, and integrated development environments (IDEs), as well as knowledge of software development methodologies like Agile, is typically required. Strong problem-solving abilities, effective communication, and the ability to collaborate virtually make candidates stand out in this remote setting. These skills and qualities are crucial for delivering high-quality, secure software solutions that meet rigorous defense and aerospace industry standards while working effectively in distributed teams.

What is the difference between Remote Raytheon Software Engineer vs Remote Lockheed Martin Software Engineer?

AspectRemote Raytheon Software EngineerRemote Lockheed Martin Software Engineer
Required CredentialsBachelor's in CS or related field, security clearance preferredBachelor's in CS or related field, security clearance preferred
Work EnvironmentPrimarily remote, defense industry projectsPrimarily remote, defense and aerospace projects
Employer & Industry UsageRaytheon Technologies, defense and aerospaceLockheed Martin, defense and aerospace

Both roles typically require similar credentials, including a bachelor's degree and security clearance. They operate in remote environments focused on defense projects within major aerospace and defense companies. The main difference lies in the employer and specific project focus, with Raytheon emphasizing missile defense and cybersecurity, while Lockheed Martin specializes in aerospace and military systems.

What are popular job titles related to Remote Raytheon Software Engineer jobs in Springfield, MO?

For Remote Raytheon Software Engineer jobs in Springfield, MO, the most frequently searched job titles are:

What job categories do people searching Remote Raytheon Software Engineer jobs in Springfield, MO look for?

The top searched job categories for Remote Raytheon Software Engineer jobs in Springfield, MO are:

What cities near Springfield, MO are hiring for Remote Raytheon Software Engineer jobs?

Cities near Springfield, MO with the most Remote Raytheon Software Engineer job openings:

Remote Raytheon Software Engineer jobs near you
Infographic showing various Remote Raytheon Software Engineer job openings in Springfield, MO as of August 2026, with employment types broken down into 71% Full Time, and 29% Contract. Highlights an 100% Remote job distribution, with an average salary of $117,959 per year, or $56.7 per hour.

Bioinformatics Software Engineer

micro1 AI

Springfield, MO • Remote

$80 - $110/hr

Part-time

Posted 15 days ago

Job description

Role Title: Computational Biology & Cheminformatics Expert


Role Type: Contractor


Location: Remote


micro1 is engaging Computational Biology & Cheminformatics Experts to contribute their expertise to a customer’s computational drug discovery project. In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters.


Scope of Work

  1. Analyze and interpret small-molecule and drug discovery datasets using advanced computational biology, bioinformatics, and cheminformatics methods.
  2. Curate, annotate, and validate chemical and biological datasets (e.g., ChEMBL, PubChem, DrugBank) to support AI-driven discovery platforms.
  3. Evaluate compound-target interactions, ADMET properties, and lead optimization strategies by integrating chemical, biological, and clinical data sources.
  4. Provide expert insights on structure-activity and structure-property relationships (SAR/SPR), medicinal chemistry approaches, and experimental design considerations.
  5. Build and implement code-based benchmark tasks (e.g., terminal/CLI-based environments) that reflect realistic computational drug discovery scenarios.
  6. Develop reproducible environments (e.g., using Docker) and automated testing pipelines to ensure task correctness and solvability.
  7. Assess and review AI-generated outputs for scientific rigor, accuracy, and practical relevance, delivering detailed written feedback and recommendations.


Preferred Qualifications

  1. Advanced expertise in Computational Biology, Cheminformatics, Medicinal Chemistry, Biochemistry, or related fields; advanced degree (PhD, MSc, PharmD) highly valued but not strictly required.
  2. Strong coding proficiency in Python (beyond analysis scripts), with hands-on experience building tools, pipelines, or testable code; familiarity with Git, GitHub, and Docker.
  3. Extensive experience with cheminformatics toolkits and platforms such as RDKit, KNIME, Schrödinger, OpenEye, or MOE.
  4. Proven track record in small-molecule drug discovery, SAR/QSAR evaluation, ADMET prediction, or virtual screening workflows.
  5. Comfort working with public chemical and bioactivity databases and integrating diverse datasets for scientific analysis.
  6. Demonstrated ability to clearly communicate complex chemical and biological concepts in written feedback and reports.
  7. Experience participating in multidisciplinary and/or remote projects; familiarity with AI-assisted coding tools is a plus.

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