Posted at: 6 April

Summer Internship - AI Researcher

Company

Aledade is an Ashburn, VA-based B2B healthcare company specializing in helping independent primary care practices and health centers build and manage Accountable Care Organizations (ACOs) to enhance value-based care.

Remote Hiring Policy:

Aledade supports flexible work schedules and remote work for many roles, operating across various states in the United States, with team members collaborating nationwide.

Job Type

Contract

Allowed Applicant Locations

United States

Salary

$15 to $25 per hour

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Job Description

Aledade is recruiting for 2026 Summer Interns! Interns receive guidance from senior leaders and take part in substantive, hands-on projects that foster an understanding of overall operations at Aledade and the function of our complex healthcare system in general. This internship will begin on June 1st, 2026, and last for 10 weeks until August 7th, 2026.

The objective of this internship is to research, design, and prototype the Universal EHR Context Protocol, using HCC risk adjustment abstraction as the primary evaluation case. The protocol will first attempt to fulfill requests via standard API routes. Upon encountering an API gap, the system will trigger a secure, read-only browser-use agent to navigate the EHR UI, open the relevant unstructured document, extract the clinical evidence using Vision-Language Models (VLMs), and normalize it into a standard JSON schema for review within the Aledade Overlay. The internship has a duration of 3 to 6 months, starting in the Summer of 2026.

Primary Duties

Schema & Protocol Architecture (25%): Design a unified request/response schema that abstracts variations in proprietary EHR APIs, enabling downstream AI applications to request patient context agnostically.
Agentic Fallback Routing (25%): Develop the logic to detect incomplete or failed API requests and deploy a browser-use agent to locate and extract the missing context via the EHR's web interface.
LLM Data Normalization (25%): Build a reasoning layer utilizing LLMs/VLMs to process unstructured documents retrieved by the agent, extract required clinical elements, and map them to the UECP schema.
Performance & Reliability Evaluation (25%): Establish an evaluation framework to measure the operational tradeoffs between API retrieval and agentic fallback. Design caching strategies to mitigate latency, and implement automated LLM evaluation pipelines (e.g., LLM-as-a-judge) to assess extraction accuracy and clinical safety.

Minimum Qualifications

Education: Currently pursuing a Master’s or PhD in Computer Science, Applied AI, Software Engineering, Health Systems Engineering, or a closely related discipline.
Programming: Strong backend software engineering skills, primarily in Python, with a solid foundation in data structures, system architecture, and JSON schema design.
Web Automation: Experience with web scraping, DOM manipulation, and browser automation frameworks (e.g., Playwright, Puppeteer, Selenium).
AI/Machine Learning: Practical experience integrating LLMs and Vision-Language Models (VLMs) for unstructured data extraction and reasoning.

Preferred Knowledge, Skills, or Abilities

Agentic Frameworks: Proven experience or deep academic interest in building autonomous, browser-use agents, semantic routing, and fallback logic (e.g., LangChain, AutoGPT, or custom reasoning loops).
Healthcare Interoperability: Understanding of standard healthcare data exchange protocols (like HL7 FHIR, SMART on FHIR), EHR API ecosystems, and clinical coding models like Hierarchical Condition Categories (HCC).
System Optimization: Ability to evaluate and optimize the operational tradeoffs of AI systems, specifically balancing latency, caching strategies, and extraction accuracy in real-time environments.
AI-Assisted Engineering: Proficiency in using AI coding tools (e.g., Claude Code, Cursor) to quickly prototype and bypass boilerplate engineering tasks, keeping the focus on core routing architecture.
Research & Autonomy: High tolerance for ambiguity and the ability to independently research, test, and architect fault-tolerant systems in highly fragmented and unpredictable software ecosystems. Strong technical writing skills for potential academic publication.

Physical Requirements

Sitting for prolonged periods of time. Extensive use of computers and keyboard. Occasional walking and lifting may be required.

Who We Are:

Aledade, a public benefit corporation, exists to empower the most transformational part of our health care landscape - independent primary care. We were founded in 2014, and since then, we've become the largest network of independent primary care in the country - helping practices, health centers and clinics deliver better care to their patients and thrive in value-based care. Additionally, by creating value-based contracts across a wide variety of health plans, we aim to flip the script on the traditional fee-for-service model. Our work strengthens continuity of care, aligns incentives and ensures primary care physicians are paid for what they do best - keeping patients healthy. If you want to help create a health care system that is good for patients, good for practices and good for society - and if you're eager to join a collaborative, inclusive and remote-first culture - you've come to the right place.

What Does This Mean for You?

At Aledade, you will be part of a creative culture that is driven by a passion for tackling complex issues with respect, open-mindedness and a desire to learn. You will collaborate with team members who bring a wide range of experiences, interests, backgrounds, beliefs and achievements to their work - and who are all united by a shared passion for public health and a commitment to the Aledade mission.

At Aledade, we don’t just accept differences, we celebrate them! We strive to attract, develop and retain highly qualified individuals representing the diverse communities where we live and work. Aledade is committed to creating a diverse environment and is proud to be an equal opportunity employer. Employment policies and decisions at Aledade are based on merit, qualifications, performance and business needs. All qualified candidates will receive consideration for employment without regard to age, race, color, national origin, gender (including pregnancy, childbirth or medical conditions related to pregnancy or childbirth), gender identity or expression, religion, physical or mental disability, medical condition, legally protected genetic information, marital status, veteran status, or sexual orientation.

Privacy Policy: By applying for this job, you agree to Aledade's Applicant Privacy Policy available at https://www.aledade.com/privacy-policy-applicants

We may use automated tools, including artificial intelligence (AI), to help organize and evaluate application materials. These tools support our recruiters and hiring managers by helping manage large applicant pools. Human judgment plays an essential role in our hiring process, including in the oversight and use of any automated tools. If you would like more information about our screening and hiring process, please contact us.

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