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Clera

Medical AI Researcher

San Francisco
Salary
$150,000 - $230,000 annually
Level
Mid
Work type
On-site · San Francisco
Visa
Not offered

Open. First seen 9 September 2026.

Apply on the company's site →

The team: Engineering HIRES STEADILY

This role is one of 292 open in Engineering. 226 were posted in the last 30 days and the oldest in March: a team that hires all year rather than one being built.

WHAT THE TEAM WORKS WITH, ACROSS ITS POSTINGS

LLM (135 of 292), TypeScript (131 of 292), Python (123 of 292), React (107 of 292), Machine Learning (70 of 292), PostgreSQL (58 of 292), JavaScript (55 of 292)

OTHER ROLES ON THIS TEAM

From the team and dates on Clera's own job board.

About the role

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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