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Scan.com

Imaging network enabling search, scheduling, results

Senior Software Engineer - Fulfillment

Backend EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAHybrid

About the Job

Requirements

  • Experience shipping complex internal operations dashboards and creating user experiences.
  • Proficiency in backend development within modern web stacks, particularly Ruby on Rails and Postgres, with emphasis on reliable, scalable services and architectural rigor.
  • Familiarity with RESTful API integration patterns, including schema versioning, backward compatibility, and API contract management.
  • Strong operational instincts, including instrumentation, anticipating failure modes, and treating on-call escalations as signals of systemic gaps.

Responsibilities

  • Design and implement patient intake workflows, including completing medical forms, scheduling appointments, and sending relevant reminders.
  • Architect a system for monitoring patients’ journeys at scale for operations leadership.
  • Develop dashboards for scheduling operations, legal operations, and patient services team members.
  • Own the operations automation layer, including automatic referral ingestion, task assignment, AI voice reminder calls, and dashboards that surface issues to operational leads before they affect patient service expectations.

Desired Qualifications

  • Experience in healthcare is a plus, but is not required.

About the Company

Scan.com

Imaging network enabling search, scheduling, results

Scan.com is a medical imaging network that connects patients, employers, health plans, and digital-health apps to MRI and other diagnostic scans via a national API for search, scheduling, and results, with care guides. It uses live two-way integrations with imaging centers’ scheduling systems and electronic medical records (EMRs) and AI to match availability, price, and subspecialty, enabling online booking instead of fax/phone. The platform differentiates itself through its extensive, cross-market network (UK and US), API-first approach, real-time scheduling integrations, and AI-driven matching, aiming to streamline how imaging is accessed and paid for. Its goal is to continue expanding its network and capabilities through expansion, acquisitions, and AI infrastructure, supported by financing, to replace offline booking and improve access to diagnostic imaging.

Company size
51-200
Company stage
Early VC
Total funding
$132.7M
Headquarters
London, United Kingdom
Founded
2017

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