Clinical AI Researcher

present of AI; San Francisco (CA); On-site; USD 130,000 - 190,000; Full time

Job summary

Ambience Healthcare seeks a clinician with firsthand medical documentation experience to shape AI tools that draft notes, code, and perform clinical checks. The role blends clinical judgment with technical problem solving, experiment design and evaluation of model outputs.

You'll curate and audit datasets across ambulatory, emergency and inpatient settings, collaborating with engineers to improve safety, usefulness and accuracy of the systems.

Qualifications

• Advanced clinical degree or equivalent medical qualification
• Comfort with technical problem solving and experimental design
• Experience with medical documentation workflows and coding awareness
• Ability to judge clinical soundness of model outputs
• Ability to curate and audit datasets across specialties

Responsibilities

• Evaluate and refine AI-generated clinical documentation across ambulatory, ED, and inpatient settings.
• Design and test experiments to improve model accuracy and safety.
• Audit datasets and provide feedback to engineers and data scientists.
• Collaborate with clinical and technical teams to steer AI tool development.

Job description

This role asks for a clinician who knows medical documentation firsthand and wants to work on AI tools that draft notes, coding and clinical checks. A strong candidate combines an advanced clinical degree with comfort in technical problem solving, designing experiments and judging whether model output is clinically sound. The work also involves curating and auditing datasets and expanding knowledge across specialties.

How it fits the AI era

The role sits at the point where AI meets clinical judgment: models draft documentation and coding, while a clinician decides what is accurate, safe and useful. Much of the routine drafting and checking can be automated, but defining success criteria, spotting subtle clinical errors and translating feedback into better models stay human. The job is less about building models from scratch and more about steering them with clinical insight.

How it builds AI experience

Working here means gaining hands on experience evaluating and refining models on real clinical documentation across ambulatory, emergency and inpatient settings, and learning how coding aware outputs are tested. That grounding in model evaluation, dataset curation and experiment design is built by pairing clinical review with close work alongside technical teams.

Worth showing

• Clinical documentation workflow
• Dataset curation and audit
• Cross specialty clinical knowledge

This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.

About Ambience Healthcare

AI that listens to clinical visits and drafts the documentation, coding and clinical checks so doctors spend less time on the screen.