Medical AI Researcher
At a glance
Mid-level AI Research role at Clera. San Francisco · full-time · $150,000–$230,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Lead customer projects from kickoff through delivery, running discussions and setting the questions each evaluation needs to answer
- Build and run investigations that test model behavior, performance across settings, failure cases and unresolved uncertainty
- Examine DICOM/PACS and radiology workflows, then turn what you find into usable evaluation evidence
- Prepare clear reports and presentations for regulatory and internal readers, often against tight deadlines
- Share findings with customers and internal teams to support go/no-go choices and product direction
What you bring
- You have hands-on experience with medical imaging systems, including DICOM/PACS workflows and connecting ML models to clinical systems
- You bring several years of work in ML evaluation or medical imaging AI
- You can build repeatable evaluation pipelines and handle model validation and monitoring, using Python and common ML frameworks
- You hold a bachelor's in computer science, engineering, mathematics or a related area, or offer equivalent practical experience
Who this fits
This mid-level role suits someone who can combine practical ML evaluation with direct customer work. You must work on-site from the San Francisco office; visa sponsorship is unavailable.
From 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).
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.