Clinician Scientist

Clinician Scientist ABOUT ABRIDGE Abridge was founded in 2018 with the mission of powering deeper understanding in healthcare. Our AI-powered platform was purpose-built for medical conversations, improving clinical documentation efficiencies while enabling clinicians to focus on what matters most—their patients. Our enterprise-grade technology transforms patient-clinician conversations into structured clinical notes in real-time, with deep EMR integrations. Powered by Linked Evidence and our purpose-built, auditable AI, we are the only company that maps AI-generated summaries to ground truth, helping providers quickly trust and verify the output. As pioneers in generative AI for healthcare, we are setting the industry standards for the responsible deployment of AI across health systems. We are a growing team of practicing MDs, AI scientists, PhDs, creatives, technologists, and engineers working together to empower people and make care make more sense. We have offices located in the Mission District in San Francisco, the SoHo neighborhood of New York, and East Liberty in Pittsburgh. THE ROLE Abridge is looking for Senior/Staff Clinician Scientists to drive the development of our AI-powered clinician documentation tools. The ideal candidate is a Physician with strong technical expertise, blending clinical knowledge with AI and software development skills. In this role, you will help shape AI-driven documentation tools, ensuring our models generate accurate, high-quality medical notes that enhance clinician efficiency and patient care. You’ll work closely with engineers, researchers, and clinicians to refine AI models, validate outputs, and develop new capabilities that improve documentation workflows. WHAT YOU’LL DO - 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 WHAT YOU’LL BRING - MD, DO (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 BONUS POINTS IF... - 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 he ... (truncated, view full listing at source)