Analyst, Payer Strategy

recoursehealth.com • San Francisco, CA

2d

About The Position

A federal arbitration system called Independent Dispute Resolution (IDR) now determines billions of dollars in healthcare payments each year. Providers win the vast majority of disputes, yet most eligible claims are never filed. The process is manual, fragmented, and resource-intensive, and most providers don't have the infrastructure to pursue what they're owed. The No Surprises Act created the framework, and the market already exists. Today it runs on spreadsheets, consultants, and static playbooks. We're building the first intelligent system designed to operate inside it. IDR is a repeated game. The same payers and the same arbitrators show up again and again. Whoever learns fastest from outcomes builds a compounding edge that nobody can copy. This role is how we learn.

Requirements

• 3+ years in analytics, data science, strategy, or a similarly quantitative role
• Strong SQL. You pull your own data and you don't wait for someone else to do it
• Comfort with Python or R for anything SQL can't handle
• Hands-on fluency with AI tooling. You have used it to accelerate real analytical work, not just tried the demos
• Clear written communication. Your analysis has to change what other people do, which means they have to understand it
• A preference for small teams and early-stage chaos over mature org charts
• Sound judgment, analytical depth, and ownership mindset are required.
• Grit matters more than pedigree.

Nice To Haves

• Healthcare data experience is a strong plus: claims, 835s, EOBs, CPT and diagnosis coding, payer contracting
• Experience with the No Surprises Act, IDR, arbitration, payer contracting, or out-of-network claims.

Responsibilities

• Analyze outcomes across every dispute we file: win rate, offer multiple, recovery, time to resolution
• Build payer profiles that explain how each insurer behaves and where they can be pushed
• Run loss analysis on every dispute we don't win, and turn the reason into a rule
• Model offer strategy: what to submit, against which payer, for which CPT context, and why
• Work with CMS public use file data to benchmark our performance against the whole market
• Partner with engineering to encode what you learn into the product, so the system applies it automatically
• Build the dashboards and reporting the whole team runs on

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed