Senior AI Research Scientist
iCAD · United States · US
Clinical Data Science
Remote
Not yet analysed
Demand85
Career growth85
Healthcare fit20
Remote potential60
Salary band
USD 165k – 200k
5-year outlook
Senior AI research scientists in medical imaging are well-compensated, with strong long-term demand as healthcare AI expands. Compensation will depend on location, company size, and regulatory experience.
Clinical license
Not required
Applicant reach
narrow
Seniority
senior
Employment type
full-time
Date found
2026-09-28
Intelligence details
Flexible work details
- Engagement type
- Permanent
- Hours
- Full-time
- Eligible countries
- United States
- Rate period
- Annual
Listing via Himalayas.
Eligibility, licensing, and location restrictions can change. Always confirm details on the source posting before applying.
Why this is worth applying to
Only clinicians with a strong AI/ML research background (e.g., PhD, publications, deep learning expertise) should consider this role. It is not a practical transition for most clinicians without advanced computational training.
Who should apply
Clinician-scientists with a PhD in computer science/AI and a track record in medical imaging AI, or radiologists/oncologists with extensive machine learning research and publications.
CV angle
Highlight any AI/ML research, medical imaging data experience (DICOM, mammography), publications, Python/C++ proficiency, and collaboration with clinical teams. Frame clinical domain knowledge as an asset for model validation and regulatory submissions.
Skills to highlight
- Deep Learning
- Medical Imaging
- Python
- C++
- TensorFlow/PyTorch
- FDA 510(k)
- Data Preprocessing
- Research Publications
Role summary
Senior AI Research Scientist at iCAD developing deep learning models for breast cancer detection and medical imaging, leading validation for FDA clearance, and collaborating with product, clinical, and engineering teams.
We publish our own intelligence summary, never the full job description. Always confirm details with the employer when you apply.