Healthcare AI and Medical ML Jobs (2026)
Healthcare AI is transforming medicine through medical imaging analysis, clinical decision support, drug discovery, and patient outcome prediction. These roles combine machine learning expertise with domain knowledge in healthcare, offering the opportunity to directly improve patient outcomes and save lives.
Last updated: June 27, 2026
Latest Healthcare AI Jobs
View all jobsIntern, AI + Bayesian Decision Intelligence for Clinical Trial Modelling (Oncology)
Digital Health R&D – Data Scientist – Data Analytics and Statistics
Research Scientist (AI for Health), A*STAR BII
Founding Engineer | 👨🏻💻 AI-Native Mental Health Care (backed by Y Combinator, $3.3M+ ARR, $7M+ raised)
Senior Data Scientist - Medical Software Company
Product Manager (B2B SaaS / Healthcare AI)
Systems Engineer – AI Medical Devices (Fixed-Term - Canada)
Biomedical Data Scientist
Surgical Robotics Clinical Support
Medical AI Researcher
Software Engineer (Medical Device)
Machine Learning Research Scientist - Health AIML
AI/ML/LLM Engineer (Healthcare & Edge AI)
AI Engineer – Clinical AI Platforms (Remote-US)
Senior AI Safety Clinical Reviewer (TPM)
Director, Clinical AI Technologies
AI Lead - Clinical/Drug Substance/Drug Product with CDMO (Contract Development and Manufacturing Organization) Exp. - Remote
AI Scientist - Biomedical Multimodal Modeling
BioMedical AI Research Engineer
Medical Assistant - AI Operations Assistant
Frequently Asked Questions
What types of healthcare AI jobs are available?
Healthcare AI roles include medical imaging ML engineers (radiology, pathology), clinical NLP specialists (EHR data, medical notes), health data scientists, biomedical researchers, digital health product engineers, and AI specialists at pharmaceutical companies. Both startups and established healthcare organizations are hiring. AI job openings have grown 25.2% year-over-year, with healthcare being one of the fastest-growing verticals for AI adoption. Computer vision specialists in medical imaging average around $169K.
Do healthcare AI roles require medical knowledge?
Some medical domain knowledge is beneficial but not always required. A PhD is not necessary for most applied healthcare AI positions. Many healthcare AI teams pair ML engineers with clinical advisors. However, understanding medical data formats (DICOM, HL7/FHIR), regulatory requirements (HIPAA, FDA), and clinical workflows gives candidates a significant advantage. Python (47-58% of AI listings) and SQL (50% of developers) are essential technical skills across healthcare AI roles.
What is the salary for healthcare AI roles?
Healthcare AI salaries range from $130K to $220K for mid-level roles and $200K to $350K+ for senior positions. Data Scientists in healthcare average around $117K, while ML Engineers earn $125K-$160K. US-based healthcare AI roles average $147K-$176K, with SF, NYC, and Boston carrying 20-50% premiums. Startups may offer lower base with more equity, while established healthcare companies and big tech offer premium compensation. Workers with AI skills earn approximately 25% more than peers without them.
AI Job Insights for Healthcare AI Jobs
Salary Range (Yearly, USD)
$40K - $490K
Median $151K from 102 listings with salary data
Top Companies Hiring
Based on recent listings shown on this page.
Common Roles
Counts reflect recent listings, not total market size.
In-Demand Skills
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