Entry Level Medical Imaging Software Engineer information
See Tyler, TX salary details
$22.6K - $36.8K
1% of jobs
$36.8K - $50.9K
5% of jobs
$60K is the 25th percentile. Wages below this are outliers.
$50.9K - $65K
29% of jobs
The median wage is $82.4K / yr.
$79.2K - $93.3K
14% of jobs
$107.4K is the 75th percentile. Wages above this are outliers.
$93.3K - $107.4K
15% of jobs
$107.4K - $121.6K
8% of jobs
$121.6K - $135.7K
6% of jobs
$135.7K - $149.8K
5% of jobs
$149.8K - $164K
3% of jobs
$164K - $178.1K
2% of jobs
How much do entry level medical imaging software engineer jobs pay per year?
As of Aug 27, 2026, the average yearly pay for entry level medical imaging software engineer in Tyler, TX is $98,815.00, according to ZipRecruiter salary data. Most workers in this role earn between $61,300.00 and $113,100.00 per year, depending on experience, location, and employer.
An Entry Level Medical Imaging Software Engineer helps design, develop, and maintain software used to process and analyze medical images, such as X-rays, CT scans, and MRIs. They typically work alongside senior engineers, radiologists, and other healthcare professionals to create applications that improve the accuracy and efficiency of medical diagnoses. Their tasks often include coding, debugging, testing software, and collaborating on research projects to advance imaging technology.
Entry-level medical imaging software engineers often encounter challenges such as understanding complex medical data formats (like DICOM), adhering to strict regulatory standards, and bridging the gap between clinical requirements and technical solutions. Collaborating with multidisciplinary teams—radiologists, clinicians, and senior engineers—can help clarify project goals and requirements. Proactively seeking mentorship, participating in code reviews, and staying updated with industry-specific best practices are effective ways to accelerate learning and adapt to the demands of the field.
To thrive as an Entry Level Medical Imaging Software Engineer, you need a solid background in computer science, proficiency in programming languages like Python or C++, and a bachelor's degree in a related field. Familiarity with medical imaging standards such as DICOM, experience with image processing libraries, and knowledge of relevant frameworks or tools (e.g., ITK, VTK) are typically required. Strong problem-solving abilities, attention to detail, and effective teamwork and communication skills distinguish top performers in this role. These skills are vital for developing accurate, reliable imaging software that supports healthcare professionals and improves patient outcomes.
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