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Clinician Scientist
AbridgeClinician Scientist driving the development of AI-powered clinician tools at Abridge. Combining clinical expertise with AI to enhance clinician efficiency and patient care.
Posted 6/29/2026full-timeSan Francisco • California • 🇺🇸 United StatesMid-LevelSenior💰 $236,000 - $277,000 per yearWebsite
Tech Stack
Tools & technologiesPythonPyTorchTensorflow
About the role
Key responsibilities & impact- 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
- Define what “clinically meaningful” output looks like for each product area, including acceptable error rates, failure modes, and quality thresholds
- 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, including hallucination detection, omission detection, and medication safety checks
- Translate clinical needs into technical specifications and data models.
- Define clinical guardrail metrics and baselines; own pre/post evaluation requirements for any model update that affects clinical output
- Contribute to product development, revenue cycle management, and broader business initiatives
- Monitor clinical guideline update cycles and flag when product behavior needs to evolve based on new standards or payer policies
Requirements
What you’ll need- 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
- Nice to Have: Python programming skills and experience with deep learning frameworks such as PyTorch, JAX, and/or TensorFlow
- Nice to Have: Previous experience in AI-powered clinical documentation tools or clinical decision support systems
- Nice to Have: Published research in AI, machine learning, or healthcare technology
Benefits
Comp & perks- Generous Time Off: 14 paid holidays, flexible PTO for salaried employees, and accrued time off for hourly employees
- Comprehensive Health Plans: Medical, Dental, and Vision coverage for all full-time employees and their families.
- Generous HSA Contribution: If you choose a High Deductible Health Plan, Abridge makes monthly contributions to your HSA.
- Paid Parental Leave: Generous paid parental leave for all full-time employees.
- Family Forming Benefits: Resources and financial support to help you build your family.
- 401(k) Matching: Contribution matching to help invest in your future.
- Personal Device Allowance: Tax free funds for personal device usage.
- Pre-tax Benefits: Access to Flexible Spending Accounts (FSA) and Commuter Benefits.
- Lifestyle Wallet: Monthly contributions for fitness, professional development, coworking, and more.
- Mental Health Support: Dedicated access to therapy and coaching to help you reach your goals.
- Sabbatical Leave: Paid Sabbatical Leave after 5 years of employment.
- Compensation and Equity: Competitive compensation and equity grants for full time employees.
- ... and much more!
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
Clinical Decision SupportAI Model DevelopmentClinical Data ValidationQuality AssessmentAnalytical Skills
Soft Skills
Problem-Solving SkillsWritten CommunicationVerbal Communication