Clera
Medical AI Researcher
San Francisco
Get past the screening software and onto a recruiter's desk
hirly rewrites your resume for this job — matching the keywords and skills in the posting, moving your most relevant experience to the top, and writing a cover letter to fit. About 30 seconds.
- Keywords matched to this posting
- Fit score before you apply
- Cover letter included
Matched against 2.6M live jobs from 210,000+ employers in 200+ countries.
Tailor my resume for this job →Apply from your AI assistant
Connect hirly to Claude or ChatGPT and ask it to apply to this job. hirly tailors your resume, fills the employer’s form and asks before sending.
Some employer sites stop an application at a CAPTCHA or sign-in and hand it back with a link. Applying needs a paid plan. Works with any assistant that supports MCP.
hirly's read of this role
- Seniority
- Mid level
- Stated salary
- $150,000 – $230,000 per year
- Country
- US
- Work mode
- On-site / unstated
- First seen by hirly
- 7 Nov 2026
Derived automatically from the posting. Upload your resume above to see how the role scores against it.
the posting
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.
Listed on hirly, a job board. hirly is not the employer: Clera is hiring for this role.
Similar jobs
- Applied AI Researcher, AI SystemsDistyl · San FranciscoFirst seen today
- Applied AI Researcher, Multi-Agent SystemsDistyl · San FranciscoFirst seen today
- AI ResearcherIvo Inc. · San Francisco, CAFirst seen 40d ago
- AI ResearcherVarick Agents · SFFirst seen today
- Applied AI ResearcherMidstream · Remote | USFirst seen 3d agoremote
Browse similar roles
Want this one?
Upload your resume and hirly rewrites it for this job and writes the cover letter — in about thirty seconds, before you sign up.
Tailor my resume for this job