Software Consulting Engineer | 8+ years exp, Python, Cloud technologies and Ai
New
We sent a six-digit code to . Enter it below — or use the link in the same email.
Or click the link in the same email — either works.
Enter the email address on your account and we'll send you a link to set a new password.
Remembered it? Sign In
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.
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.
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.
Salary range: $150,000 – $230,000 USD annually. Please note that visa sponsorship is not available for this role.
This is an on-site role based in San Francisco, CA. Candidates must be available to work from the San Francisco office.
Here is what this employer asked for. Sign in and we will fill in your half.
Clera is an AI recruiting platform that introduces candidates directly to hiring managers at the companies they want to work for.
83 more Research Scientist roles in San Francisco
202K – 265K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 43 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
Search by role, company, or anything a posting mentions.
