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Remote Medical Imaging Software Engineer Jobs in Massachusetts

YO AI Labs

AI Software Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

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 ...

New

YO AI Labs

AI Software Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

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 ...

New

YO AI Labs

AI Software Engineer Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

YO AI Labs

AI Software Engineer Expert - Remote

Boston, MA · Remote

$100 - $200/hr

AI Software Engineering Domain Remote Job Type: Contractor (Part-Time) Location: Remote Job Overview We are seeking experienced AI Software Engineering Domain Experts to contribute their technical ...

YO AI Labs

AI/ML Software Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

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 ...

New

YO AI Labs

AI/ML Software Engineer - Remote

Boston, MA · Remote

$80 - $120/hr

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 ...

New

Redhat

Software Engineer

Lowell, MA · On-site +1

$96K - $154K/yr

For positions with Remote-US locations, the actual salary range for the position may differ based ... Benefits Comprehensive medical, dental, and vision coverage Flexible Spending Account - healthcare ...

Brooks Automation, Inc.

Software Engineer

Chelmsford, MA · On-site +1

$105K - $142K/yr

... issues (remote or on-site). WHAT YOU'LL BRING * Proficiency in programming C++11 or later ... Medical, Dental, Vision and Disability Insurance * 401(k) Plan * Exempt employees are provided ...

Redhat

Senior Software Engineer

Lowell, MA · On-site +1

$118K - $195K/yr

For positions with Remote-US locations, the actual salary range for the position may differ based ... Benefits Comprehensive medical, dental, and vision coverage Flexible Spending Account - healthcare ...

Ascend Learning

Lead Software Engineer

Burlington, MA · On-site +1

From testing to certification, Ascend Learning products are used by physicians, emergency medical ... Headquartered in Burlington, MA, with additional office locations and hybrid and remote workers in ...

Spoiler Alert

Software Engineer

Boston, MA · On-site +1

$110 - $125K/hr

Remote-first environment, with co-working access for locals in BOS, NYC, & DEN * Competitive salary ... age, medical condition, mental or physical disability, handicap or veteran status, or marital ...

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All JobsMedical Imaging Software Engineer JobsRemote Medical Imaging Software Engineer JobsRemote Medical Imaging Software Engineer Jobs in Massachusetts

Remote Medical Imaging Software Engineer information

What does a remote medical imaging software engineer do?

A Remote Medical Imaging Software Engineer designs, develops, and maintains software used to process and analyze medical images, such as X-rays, MRIs, and CT scans. Working remotely, they collaborate with healthcare professionals, researchers, and other engineers to create tools that assist in diagnosis, treatment planning, and research. Their tasks may include writing code, troubleshooting software issues, ensuring regulatory compliance, and integrating new imaging technologies. Strong knowledge of image processing algorithms, programming languages, and healthcare standards is essential for this role.

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

To thrive as a Remote Medical Imaging Software Engineer, you need a strong background in computer science, mathematics, and medical imaging concepts, often supported by a relevant degree and experience in software development. Expertise in programming languages (such as Python or C++), familiarity with image processing libraries (like ITK or OpenCV), and knowledge of regulatory standards (such as DICOM and HIPAA) are typically required. Excellent problem-solving abilities, attention to detail, and effective communication skills are vital for collaborating with remote teams and healthcare professionals. These skills and qualities ensure the development of accurate, secure, and user-friendly imaging solutions that support clinical workflows and patient care.

How do remote medical imaging software engineers typically collaborate with radiologists and other healthcare professionals to ensure software meets clinical needs?

Remote Medical Imaging Software Engineers often work closely with radiologists, clinicians, and medical technologists through virtual meetings, feedback sessions, and collaborative documentation platforms. They gather user requirements, discuss workflow pain points, and receive feedback on prototypes or released features to ensure the software aligns with actual clinical practices. Regular communication and agile development cycles help engineers rapidly address issues, incorporate user suggestions, and maintain compliance with healthcare regulations. This collaborative approach ensures the software supports accurate diagnosis and integrates smoothly into healthcare environments.

What is the difference between Remote Medical Imaging Software Engineer vs Remote Medical Device Software Engineer?

AspectRemote Medical Imaging Software EngineerRemote Medical Device Software Engineer
Required CredentialsBachelor's in Computer Science, Biomedical Engineering, or related; experience with imaging algorithmsBachelor's in Software Engineering, Biomedical Engineering, or related; experience with device firmware
Work EnvironmentHealthcare tech companies, hospitals, research institutionsMedical device manufacturers, healthcare providers, regulatory agencies
Industry UsageDevelops imaging software for diagnostics and analysisDevelops software for medical devices like pacemakers or infusion pumps
Common Search & ComparisonOften compared based on software development focus in imagingFocuses on device safety and compliance

The Remote Medical Imaging Software Engineer primarily develops imaging analysis and visualization software used in diagnostics, while the Remote Medical Device Software Engineer focuses on software for medical devices ensuring safety and compliance. Both roles require technical expertise but differ in their application and industry focus.

What are the most commonly searched types of Medical Imaging Software Engineer jobs in Massachusetts?

The most popular types of Medical Imaging Software Engineer jobs in Massachusetts are:

What are popular job titles related to Remote Medical Imaging Software Engineer jobs in Massachusetts?

For Remote Medical Imaging Software Engineer jobs in Massachusetts, the most frequently searched job titles are:

What job categories do people searching Remote Medical Imaging Software Engineer jobs in Massachusetts look for?

The top searched job categories for Remote Medical Imaging Software Engineer jobs in Massachusetts are:

What cities in Massachusetts are hiring for Remote Medical Imaging Software Engineer jobs?

Cities in Massachusetts with the most Remote Medical Imaging Software Engineer job openings:

Remote Medical Imaging Software Engineer jobs near you

AI Software Engineer - Remote

Boston, MA • Remote

YO AI Labs
See more jobs at YO AI Labsexternal

$80 - $120/hr

Full-time

Posted 3 days ago

New

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.