Healthcare Operations Intern at Trellis AI (W24)
$60K - $110K  •  0.10% - 1.00%
AI for streamlining healthcare paperwork
San Francisco, CA, US / Remote (US)
Full-time
US citizen/visa only
Any (new grads ok)
About Trellis AI

Trellis helps healthcare providers treat more patients, faster—while eliminating pre-service paperwork.

We automate document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care.

Our AI agent is trained on millions of clinical data points and converts messy, unstructured documents into clean, structured data directly in your EHR.

With Trellis, leading healthcare providers and pharmaceutical companies were able to:

  1. Reduce time to treatment by over 90%

  2. Improve prior authorization approval and reimbursement rates

  3. Leverage structured data to enhance drug program performance and clinical decision-making

Administrative costs account for over 20% of U.S. healthcare spending—delaying care, draining revenue, and driving staff burnout while having less visibility into patient care than ever before. We built Trellis to tackle this head on.

About the role

Trellis is hiring Healthcare Operations Intern

Trellis helps healthcare providers treat more patients, faster—while eliminating pre-service paperwork.

We do this by automating document intake, prior authorizations, and appeals at scale to streamline operations and accelerate care.

Trellis is a spinout from Stanford AI Lab and is backed by leading investors including YC, General Catalyst, Telesoft Partners, and executives at Google and Salesforce.


The Role

Healthcare Operations Interns at Trellis will partner with our engineering, product, and customer teams to tackle some of the toughest problems in healthcare operations. You’ll help us streamline processes like prior authorizations and patient program enrollments—critical workflows that directly impact patient access to life-saving care.

Interns will gain hands-on experience working in a fast-moving healthcare technology startup and will learn how AI can transform operational bottlenecks into scalable, patient-first solutions. Projects often begin with questions like:

  • “How do we improve the accuracy and speed of medical document intake?”
  • “How can we make prior authorization approvals faster for patients who need urgent treatments?”

🧍🏻‍♂️Why Work With Us

  • Frontline Impact: See how your work directly affects patients and providers.
  • Learn From the Best: Work closely with founders and operators with backgrounds spanning Stanford AI research, unicorn startups, and Fortune 500 healthcare.
  • Variety & Ownership: Contribute to multiple functions—from process mapping and customer success to product operations.
  • Startup Exposure: Experience the full spectrum of an early-stage healthcare company, from strategy to execution.
  • Career Growth: Build a unique foundation at the intersection of healthcare, operations, and AI.

Core Responsibilities

As a Healthcare Operations Intern, you will:

  • Process Mapping & Analysis: Document and analyze healthcare workflows (e.g., prior authorizations, appeals) to identify pain points and opportunities for automation.
  • Customer Collaboration: Support conversations with healthcare providers, payors, and partners to gather feedback and understand operational needs.
  • Data Operations: Assist in structuring and organizing clinical and administrative datasets for workflow automation.
  • Product Support: Work with engineers and product managers to design and test tools that integrate seamlessly into healthcare operations.
  • Project Execution: Contribute to planning, tracking, and delivering projects that improve healthcare operations.

Requirements

  • Strong interest in healthcare, operations, and technology.
  • Exceptional problem-solving skills and attention to detail.
  • Ability to work independently while collaborating closely with a cross-functional team.
  • Excellent written and verbal communication skills.
  • Analytical mindset; comfortable with data analysis and process documentation.
  • Previous exposure to healthcare operations, consulting, or startups (preferred but not required).

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