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Remote Medical Imaging Software Engineer Jobs in Trumbull, CT

IQVIA

Sr Software Development Engineer

Greenwich, CT · On-site +1

$137K - $181K/yr

... remote) U.S. residents only; work must be performed within the United States. Experience ... innovative medical treatments to help improve patient outcomes and population health worldwide.

IQVIA

Sr Software Development Engineer

Greenwich, CT · On-site +1

$137K - $181K/yr

... remote) U.S. residents only; work must be performed within the United States. Experience ... innovative medical treatments to help improve patient outcomes and population health worldwide.

Cisco

Senior Software Engineer, Backend

Stamford, CT · On-site +1

$165K - $241K/yr

... the software development lifecycle. Preferred Qualifications * Programming experience in Rust ... S. employees are offered benefits, subject to Cisco's plan eligibility rules, which include medical ...

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All JobsMedical Imaging Software Engineer JobsRemote Medical Imaging Software Engineer JobsRemote Medical Imaging Software Engineer Jobs in Trumbull, CT

Remote Medical Imaging Software Engineer information

See Trumbull, CT salary details

$62.3K

$144.7K

$201.6K

How much do remote medical imaging software engineer jobs pay per year?

As of Aug 9, 2026, the average yearly pay for remote medical imaging software engineer in Trumbull, CT is $144,747.00, according to ZipRecruiter salary data. Most workers in this role earn between $117,700.00 and $169,700.00 per year, depending on experience, location, and employer.

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.

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.

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 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.
Remote Medical Imaging Software Engineer jobs near you

Software Engineer II - Bioinformatics R&D - Remote

SEMA4

Stamford, CT • On-site, Remote

Full-time

Re-posted yesterday

Job description

Sema4 is a patient-centered health intelligence company dedicated to advancing healthcare through data-driven insights. Sema4 is transforming healthcare by applying AI and machine learning to multidimensional, longitudinal clinical and genomic data to build dynamic models of human health and defining optimal, individualized health trajectories. Centrellis®, our innovative health intelligence platform, is enabling us to generate a more complete understanding of disease and wellness and to provide science-driven solutions to the most pressing medical needs. Sema4 believes that patients should be treated as partners, and that data should be shared for the benefit of all.
Sema4 is seeking a talented, self-motivated Software Engineer II - Bioinformatics R&D to contribute to cutting-edge translational bioinformatics and clinical product development. As a member of the R&D Bioinformatics department, you will act as a critical member of the Sema4 clinical and research ecosystem focused on innovation, reliability, and quality analysis of high-throughput data at an unprecedented scale. You will use advanced cloud computing technologies to do big data analytics. You will be part of an interdisciplinary team that develops computational methods and pipelines to interpret large-scale human genome and transcriptome sequencing data to understand mutations and mutation processes in cancer and reproductive health and to translate that understanding to clinical utility. You will develop systems for integrating novel informatics and genomics tools and methodologies into clinical products and practices.
RESPONSIBILITIES
  • Carry out software design, coding, testing, debugging, and documentation
  • Automate existing analysis workflows, migrate existing workflows to cloud platforms, and develop new workflows and pipelines for clinical and research projects
  • Develop, implement, and follow best practices in software development, code versioning, software testing, and deployment
  • Collaborate closely with scientists, clinicians, and product managers to design, engineer, and implement analytics pipeline solutions in the Amazon AWS cloud environment
  • Deliver high-quality, well-tested software to the production bioinformatics team for use in clinical products
  • Contribute to bioinformatics research analysis
  • Communicate effectively with collaborators (computational and bioinformatics scientists on R&D and production teams, IT/HPC, clinical lab directors, knowledgebase and curation teams, wet lab staff) to understand and satisfy product and research analysis needs
  • Train and provide support for bioinformatics scientists and other team members in internally developed best practices for software development, testing, and software development lifecycle (SDLC) policies

QUALIFICATIONS
  • M.S. in Computer Science, Computer Engineering, Bioinformatics, Computational Biology, or related fields. B.S. plus equivalent experience will be considered
  • 2+ years of post-graduate software development experience
  • Working in a team, self-motivation, ability to manage multiple tasks simultaneously, ability to solve problems independently
  • Possess strong understanding of computer science fundamentals, algorithms, and software engineering best practices
  • Strong coding proficiency in Python and R programming languages or similar. Experience with multiple coding languages such as Java/Scala is preferred.
  • Programming experience in Unix/Linux environment
  • Experience with Docker or similar software container platform
  • Hands-on experience working with NGS and bioinformatics tools will be a plus, especially GATK and WDL and common NGS data formats (VCF, BAM)
  • Experience working with cloud computing infrastructures will be a plus, especially on Amazon AWS and DNAnexus
  • Developing codebases using distributed version control tools (especially Git) and software issue tracking systems (especially Jira)
  • Excellent communication and interpersonal skills needed for working in an interdisciplinary team of scientists, engineers, and clinicians
  • Well-versed in the art of effective technical communication, especially graphical communication, about systems design and high-complexity datasets

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