5 open TypeScript positions
The Software Engineer II for the R37 Team contributes to projects across the entire software lifecycle, from requirements analysis to production deployment, focusing on building reliable and scalable features for US healthcare revenue cycle management. Key responsibilities involve writing clean, well-tested code, ensuring production reliability through monitoring, and partnering with cross-functional teams like product managers and designers. This role requires competency in modern programming languages and cloud infrastructure, with a strong interest in leveraging AI-native development tools.
The Software Engineer III role at R37 focuses on independently delivering robust, scalable features from conception through production within the US healthcare revenue cycle management sector. Key responsibilities include owning projects end-to-end, designing straightforward code, and ensuring reliability through quality testing and monitoring. Candidates must have proven experience operating large-scale data platforms and proficiency in modern programming languages while embracing AI-native tools.
The Engineering Manager for R37 will lead and support a team of AI, data, and full-stack engineers, driving the development and enhancement of AI capabilities for revenue cycle management products. Key responsibilities include defining the roadmap, fostering a high-performing team through recruitment and mentorship, and championing agile methodologies. This role requires 3+ years of engineering management experience, expertise in hiring, and proficiency in modern programming languages like Python, along with experience in cloud infrastructure like AWS or GCP. Selected candidates will participate in an in-person interview at one of the US talent hubs (San Francisco, New York, Austin, or Chicago), with travel accommodations provided if necessary.
This Senior Software Engineer role focuses on building and operating robust, scalable, AI-driven systems for transforming healthcare financial performance using a modern programming stack. Key responsibilities include owning complex business problems end-to-end, executing system design, and providing technical direction for projects. Candidates must demonstrate proven experience building large-scale data platforms and possess strong skills in modern languages and cloud infrastructure.
Phare, recently acquired by R1, is building an AI-powered Revenue Operating System for hospital billing. The role is primarily full-stack application engineering using React, Node, and Python, requiring an engineer with a strong product sense to translate AI outputs into user-friendly products. Candidates are expected to blend technical depth with product instinct to shape intelligent system interactions, with required experience ranging from Mid-level to Staff seniority.