# Medical AI Researcher at Clera

> Onsite · United States · Unspecified · Software engineering · open. Source: https://alderhq.app/jobs/ashby%3Aclera%3Afa9e30d4-bd3e-4917-a9cf-146f5aec7748 (read 2026-11-13).

## Facts (observed)

- Company: [Clera](https://alderhq.app/companies/clera)
- Location text: San Francisco
- Where it can be done from (inferred): Onsite · United States (evidence: "Location: San Francisco")
- Posted: 2026-06-03 (163 days ago)
- First seen by alder: 2026-11-02 · last verified: 2026-11-13
- Reposted: 0 times · edited: 0 times
- Apply on the employer's site: https://jobs.ashbyhq.com/clera/fa9e30d4-bd3e-4917-a9cf-146f5aec7748
- Skills listed (inferred): Python, Go, Kubernetes, Docker, PyTorch, TensorFlow

## Pay and sponsorship

- Posted pay: $150k–$230k per year (from the description)
- Market band for similar posted roles (SF Bay Area, n 2174): p25 $161k, median $200k, p75 $240k

## Description (the employer's text)

### 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.

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Data: alder (https://alderhq.app). Cite https://alderhq.app/jobs/ashby%3Aclera%3Afa9e30d4-bd3e-4917-a9cf-146f5aec7748 and the date you read it. Observed facts come from the employer's own listing; location reach, level, family and skills are inferences.