Clinician Scientist

Abridge · Vertical AI · San Francisco, CA · Builder

This role focuses on developing and refining AI-driven clinical tools for healthcare, combining clinical expertise with AI knowledge. Responsibilities include prompt engineering, defining output quality, building evaluation tools, and ensuring model accuracy and safety within clinical contexts. The role involves collaboration with cross-functional teams and translating clinical needs into technical specifications.

What you'd actually do

  1. Develop and refine AI-driven clinical tools across notes, risk adjustment (HCC capture), clinical decision support, and prior authorization using clinical expertise and prompt engineering
  2. Define what “clinically meaningful” output looks like for each product area, including acceptable error rates, failure modes, and quality thresholds
  3. Collaborate with cross-functional teams (engineers, data scientists, clinicians) to integrate medical insights into AI models.
  4. Write, review, and optimize prompts to improve AI model performance in clinical contexts.
  5. Build and refine evaluation tools to streamline medical documentation quality assessment, including hallucination detection, omission detection, and medication safety checks

Skills

Required

  • MD, PA, DO (or equivalent clinical degree) with direct experience working in clinical practice
  • Deep understanding of medical documentation, clinical workflows, and medical terminology
  • Ability to evaluate AI-generated clinical notes, provide structured feedback, and guide improvements
  • Strong knowledge of healthcare data standards (e.g., FHIR, HL7) and privacy regulations (e.g., HIPAA)
  • Hands-on experience in clinical data validation and quality assessment
  • Experience collaborating with engineers and product teams to build AI-powered clinical tools
  • Strong analytical and problem-solving skills
  • Excellent written and verbal communication skills

Nice to have

  • Experience in software engineering, particularly in prompt engineering or AI model development
  • Python programming skills and experience with deep learning frameworks such as PyTorch, JAX, and/or TensorFlow
  • Previous experience in AI-powered clinical documentation tools or clinical decision support systems
  • Published research in AI, machine learning, or healthcare technology

What the JD emphasized

  • Must be willing to work from our SF office at least 3x per week
  • Define clinical guardrail metrics and baselines
  • Deep understanding of medical documentation, clinical workflows, and medical terminology
  • Ability to evaluate AI-generated clinical notes, provide structured feedback, and guide improvements
  • Strong knowledge of healthcare data standards (e.g., FHIR, HL7) and privacy regulations (e.g., HIPAA)
  • Hands-on experience in clinical data validation and quality assessment

Other signals

  • AI-powered platform for medical conversations
  • Transforms patient-clinician conversations into structured clinical notes in real-time
  • Develop and refine AI-driven clinical tools
  • Define clinical guardrail metrics and baselines
  • Build and refine evaluation tools to streamline medical documentation quality assessment