Biomedical Ai Engineer information
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$72.5K is the 25th percentile. Wages below this are outliers.
$68K - $77K
3% of jobs
The median wage is $96.5K / yr.
$95K - $104K
19% of jobs
$111.7K is the 75th percentile. Wages above this are outliers.
$104K - $113K
11% of jobs
How much do biomedical ai engineer jobs pay per year?
As of Sep 13, 2026, the average yearly pay for biomedical ai engineer in the United States is $94,807.00, according to ZipRecruiter salary data. Most workers in this role earn between $74,500.00 and $116,000.00 per year, depending on experience, location, and employer.
A Biomedical AI Engineer is a professional who combines expertise in artificial intelligence (AI), machine learning, and biomedical sciences to develop advanced technologies for healthcare and medical research. They design algorithms and models to analyze complex biomedical data, such as medical images, genomic sequences, and clinical records, to assist in diagnosis, treatment planning, and drug discovery. Their work helps improve patient outcomes, streamline healthcare processes, and support the development of new medical innovations.
To thrive as a Biomedical AI Engineer, you need a strong background in computer science, machine learning, and biomedical engineering, typically supported by a relevant degree or advanced studies. Familiarity with programming languages such as Python, frameworks like TensorFlow or PyTorch, and experience with healthcare data standards and regulatory compliance are crucial. Strong problem-solving, collaboration, and communication skills set exceptional candidates apart in this interdisciplinary field. These competencies are essential for developing effective AI solutions that address complex biomedical challenges while ensuring accuracy, safety, and ethical integrity.
Biomedical AI Engineers often work closely with clinicians and researchers to understand clinical problems, define project requirements, and ensure that AI solutions are both technically robust and clinically relevant. This collaboration may involve regular meetings to gather feedback, translating medical data into actionable formats, and iteratively refining models based on real-world clinical use. Effective communication and a willingness to learn from domain experts are key to building tools that truly enhance patient care and research outcomes.
What are popular job titles related to Biomedical Ai Engineer jobs?
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