layiq
/la·yiq/adjective
worthy; deserving; fitting; suitable.
A role, opportunity, or path that merits attention, time, and pursuit.
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Job opportunity
Medical AI Researcher
Clera
San Francisco, California, United States
Source: Clera careers · View original posting
- Pay
- Salary range: $150,000 – $230,000 USD annually. Please note that visa sponsorship is not available for this role.
- Sponsorship
- $150,000 – $230,000 USD annually. Please note that visa sponsorship is not available for this role.
Employer job description
From Clera's posting. “We” and “our” refer to the employer.
About the Role
Join a healthtech company conducting rigorous, independent evaluations of medical imaging AI systems — bridging the gap between benchmark performance and clinical reliability. As a Medical AI Researcher, you'll work directly with medical imaging companies preparing FDA submissions, owning customer engagements end-to-end: from defining evaluation questions to delivering evidence that informs go/no-go decisions.
You'll combine practical ML skills with customer-facing judgment to characterize model behavior, generalization, and uncertainty in real-world clinical workflows.
What You'll Do
- Lead end-to-end customer engagements: run meetings, define evaluation questions, and scope investigations.
- Design and execute investigations that characterize model behavior, generalization, failure modes, and remaining uncertainty.
- Analyze medical imaging workflows (DICOM/PACS, radiology pipelines) and translate findings into actionable evaluation evidence.
- Deliver clear, defensible reports and presentations for regulatory and internal audiences under tight timelines.
- Collaborate with customers and cross-functional teams to inform go/no-go decisions and drive impact on product strategy.
What We're Looking For
- Required: Hands-on expertise in medical imaging workflows and integration (DICOM/PACS, radiology pipelines) and integrating ML models into clinical systems.
- Bachelor's degree in Computer Science, Engineering, Mathematics, or a related field — or equivalent practical experience.
- Several years of experience in ML evaluation or medical imaging AI.
- Practical MLOps and model evaluation skills: building reproducible evaluation pipelines, model validation/monitoring, and proficiency in Python and common ML frameworks (e.g., PyTorch, TensorFlow).