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Clinician Scientists – MD – DO – RN – NP
| Company | Abridge |
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| Location | San Francisco, CA, USA |
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| Salary | $175000 – $275000 |
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| Type | Full-Time |
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| Degrees | Associate’s, MD |
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| Experience Level | Senior, Expert or higher |
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Requirements
- MD, DO, RN, NP (or equivalent clinical degree) with direct experience working in clinical practice
- Strong technical experience/background in computer science, software engineering, machine learning, natural language processing, data science, and/or clinical informatics
- 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
Responsibilities
- Develop and refine AI-driven clinical documentation tools using clinical expertise and prompt engineering
- Assess and validate the accuracy of AI-generated medical documentation and provide structured feedback
- Collaborate with cross-functional teams (engineers, data scientists, clinicians) to integrate medical insights into AI models
- Write, review, and optimize prompts to improve AI model performance in clinical contexts
- Build and refine evaluation tools to streamline medical documentation quality assessment
- Apply software engineering, machine learning, and/or NLP skills to improve model development and healthcare applications
- Translate clinical needs into technical specifications and data models
- Enhance the quality and effectiveness of AI solutions by integrating medical knowledge with machine learning techniques
- Contribute to product development, revenue cycle management, and broader business initiatives
Preferred Qualifications
- 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
- Publications in peer-reviewed journals or conferences in the fields of AI, machine learning, or healthcare technology
