Patient engagement software for biopharma chronic and rare disease programs
Courier Health builds patient engagement software that biopharma companies use to support people with chronic and rare diseases from diagnosis through ongoing therapy. Its stack is heavily AWS serverless (Lambda, Step Functions, EventBridge, AppSync, DynamoDB) with GraphQL and TypeScript on top, and job posts point to LLM-powered product features. Hiring is accelerating and skews senior, split between core engineering and a pipeline-focused sales and marketing push.
Courier Health is a privately held software company founded in 2021 and headquartered in New York, NY. It sells patient engagement software to life sciences and biopharma companies. The product helps manufacturers run patient support programs that guide people with chronic and rare conditions from diagnosis to starting therapy and staying on it. The company has 51–200 employees and hires in the United States across engineering, sales, marketing, product and support.
Courier Health runs on AWS, using Lambda, DynamoDB, API Gateway, Step Functions, EventBridge, AppSync, Cognito and Aurora. The code is written in TypeScript, Node.js, Python and Go, with React, GraphQL, PostgreSQL and Terraform.
Yes. Engineering is Courier Health's largest hiring area, and most open roles are senior. Sales and marketing roles focused on pipeline generation are also open, and all hiring is in the United States.
Courier Health is building new features for its core products, improving application speed and reliability, and developing LLM-powered features. It is also building out a client solutions function and an events-led field marketing program.
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Courier Health's technology stack, projects, and hiring signals are inferred from public hiring and company data — career pages, public listings, and company web presence — then clustered and de-duplicated. Figures are estimates that refresh over time. Read our full methodology →
This is not an official vendor or customer list. It is a technology-adoption signal inferred from public data, intended for B2B research.