Primary Duties
Multi-Audience NLP Synthesis (30%): Build a reasoning engine that ingests ambient visit audio/transcripts and generates three distinct outputs from a single conversation. These outputs include a Specialist Referral Justification, Care Management Tasks, and a Patient Action Plan.
Decoupled UI Integration (25%): Stage these generated artifacts in the existing Aledade Overlay "Magic Draft" UI as simple "Click-to-Copy" or "Click-to-Route" modules, avoiding dependencies on active EHR DOM manipulation.
Automated Clinical Evaluation (25%): Implement LLM evaluation pipelines (e.g., LLM-as-a-judge) to assess the accuracy of the Patient Action Plan and ensure the Referral Justification captures the correct clinical context.
Deploy & Measure Potential ROI (20%): Ship the alpha prototype to a controlled pilot cohort or simulated environment. Measure potential reductions in post-visit documentation time, artifact accuracy, and the shift in physician task management load.
Minimum Qualifications
Education: Currently pursuing a Master’s or PhD in Computer Science, Human-Computer Interaction (HCI), Artificial Intelligence, Health Informatics, or a closely related discipline.
Programming: Proficiency in Python (for AI/backend logic) and modern frontend frameworks (e.g., React, TypeScript, or JavaScript) for UI prototyping.
AI/LLM Experience: Hands-on experience working with Large Language Models (e.g., OpenAI API, Anthropic Claude, LangChain) and a strong grasp of advanced prompt engineering techniques.
Systems Design: Ability to build and connect APIs, managing the flow of data from raw audio/text input to structured, actionable outputs.
Preferred Knowledge, Skills, or Abilities
Advanced AI Architectures: Experience designing multi-agent systems, multi-modal reasoning pipelines, and automated LLM evaluation frameworks (e.g., LLM-as-a-judge) to ensure output safety and accuracy.
Healthcare Domain Expertise: Familiarity with Value-Based Care (VBC) models, clinical documentation practices, and post-visit administrative workflows (e.g., care management tasking, specialist referrals).
AI-Assisted Engineering: Demonstrated experience utilizing AI coding assistants (e.g., Claude Code, GitHub Copilot) to accelerate standard UI and full-stack implementation.
HCI & Product Sense: Ability to design intuitive, decoupled human-in-the-loop (HITL) interfaces that fit seamlessly into existing user workflows without causing alert fatigue.
Analytical & Soft Skills: Strong problem-solving skills with the ability to measure project ROI (e.g., time saved, accuracy metrics) and effectively communicate complex AI concepts to non-technical clinical stakeholders.
Physical Requirements
Top Skills
What We Do
Aledade is the largest network of independent primary care, enabling clinicians to deliver better patient outcomes and generate more savings revenue through value-based care. Aledade’s data, personal coaching, user-friendly workflows, health care policy expertise, strong payer relationships and integrated care solutions enable primary care organizations to succeed financially by keeping people healthy. Together with more than 1,900 practices and community health centers in 45 states and the District of Columbia, Aledade manages accountable care organizations that share in the risk and reward across more than 200 value-based contracts representing more than 2.5 million patient lives. To learn more, visit www.aledade.com or follow on X (Twitter), Facebook or LinkedIn.
Why Work With Us
At Aledade, we’re all about doing good for patients, practices and society - which is why we’re so passionate about value-based care and the work we do every day. Because we’re working to benefit all of society, we believe the best way to do so is to utilize all of our team members and their unique experiences, interests, backgrounds and beliefs.
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