We're Scan.com. We're building America's national imaging network: the infrastructure that connects patients, providers, and payers to faster, better-value diagnostic imaging. Thousands of patients move through our platform every day, and each is a real person waiting for an answer to a healthcare concern. We exist to get them that answer faster.

We manage the medical imaging pathway end-to-end. Providers order through a single point of entry, and from there, we run the entire medical diagnostic pathway. Managing the full pathway, rather than brokering pieces of it, is what lets us deliver imaging faster, at higher quality, and at a lower cost than the fragmented status quo.

We're looking for a Lead, Imaging Operations and Quality at an exciting time. We've raised over $200m in funding to date, reached profitability, and are growing 100% year on year.

Millions of people wait too long for a diagnosis. Come help us fix that.

WHAT YOU WILL BE GETTING INVOLVED IN

As our business grows, so does the need for smoother, more consistent imaging workflows across the specialized case types we support — from image acquisition through final report delivery. The Lead, Imaging Operations and Quality serves as a dedicated owner for those workflows: someone who deeply understands the operational nuances of case handling, brings clarity and structure to how the team works, and serves as the go-to expert others can lean on as we grow.

Personally handle a meaningful share of the core Lead Clinical Operations Specialist workload — cross-referencing patient, imaging center, and radiologist information against customer data, client updates, and radiology group communication

Own the quality bar for the entire team's output, not just your own — build the checks, spot-audits, and feedback loops that catch errors before they reach a client

Be the escalation point for imaging center and radiology group issues — the ones that don't get resolved by following the standard playbook

Build and maintain the SOPs and training materials that make this scalable

Identify where AI and agentic workflows can absorb manual QC and data cross-referencing work.

Work with sensitive data in line with HIPAA requirements, and hold your team to the same standard

WHAT YOU MIGHT BRING TO THE TABLE

You don't need to tick all the boxes to apply for this role. However, these might be some of the ways you are currently adding value:

Experience in healthcare operations, managing sensitive data in a client service function. Clinical knowledge of radiology with direct clinical experience is strongly preferred - we welcome RTs, RNs, and MAs to apply

Experience in healthcare operations, managing sensitive data in a client service function. Clinical knowledge of radiology with direct clinical experience is strongly preferred.

A track record of personally doing detail-critical work at a high accuracy bar — you lead by example, not just by oversight

Experience building or improving SOPs, training, and quality-control processes for a growing team

Comfort using AI tools to remove drudgery from your own and your team's workflow, with sound judgment on where it helps and where it doesn't — especially around sensitive patient data

Strong data manipulation — Pivot Tables and VLOOKUPs are a baseline, not a differentiator, for this role

Direct, low-ego communication — comfortable giving and receiving hard feedback without letting it fester

Resilience and a bias for action in ambiguity — this is a scale-up, and the role will evolve under you

AI REQUIREMENTS

At Scan.com, AI isn't a side project; it's how we work. For a member of this team, that means using AI daily to draft, check, and move faster. For the person leading this team, the bar is higher: you're expected to see where AI and agentic tooling can restructure the work itself, not just speed up your own tasks.

Tier 3 — AI-Building

You use AI daily in your own work, and you actively identify and help build automations or agentic workflows that change how your team operates — not just personal productivity gains. You know how to evaluate whether an AI-driven process is safe and reliable enough for sensitive patient data before rolling it out to the team.