# Medical AI Researcher at Clera

Medical AI Researcher at Clera in San Francisco. On-site, full-time, paying $150k–$230k. Posted June 3, 2026.

- Company: Clera
- Location: San Francisco
- Workplace: On-site
- Job type: Full-time
- Pay: $150k–$230k
- Posted: 2026-06-03
- Apply: https://jobs.ashbyhq.com/clera/fa9e30d4-bd3e-4917-a9cf-146f5aec7748/application
- Source: https://jobmagic.ai/jobs/medical-ai-researcher-clera-bwrwm6

## Requirements

- 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).
- Familiarity with Docker and Kubernetes.
- Nice to have: Experience with regulatory considerations for medical AI (FDA submissions such as 510(k) or De Novo).
- Healthcare industry experience preferred.

## Description

### 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).

- Familiarity with Docker and Kubernetes.

- **Nice to have:** Experience with regulatory considerations for medical AI (FDA submissions such as 510(k) or De Novo).

- Healthcare industry experience preferred.

### Compensation & Benefits

**Salary range:** $150,000 – $230,000 USD annually. Please note that visa sponsorship is not available for this role.

### Location

This is an **on-site** role based in **San Francisco, CA**. Candidates must be available to work from the San Francisco office.