Clearest Health

Clearest Health is building the most advanced Independent Dispute Resolution platform in healthcare. We help out-of-network providers recover underpaid claims under the No Surprises Act using proprietary benchmark data, automation, and expert filing operations. We’re hiring an IDR Filing Specialist who knows the NSA/IDR workflow and wants to do more than repetitive data entry. This role is for someone who can review a claim, understand what matters, spot filing risks, and move disputes forward with speed and accuracy. Our software handles much of the repetitive administrative work. Your experience, judgment, and attention to detail are what make the difference. What You’ll Do Review out-of-network claims, EOBs, remits, payer responses, and supporting documentation to determine IDR readiness Prepare and submit No Surprises Act IDR filings through the appropriate portals Track deadlines across open negotiation, initiation, batching, offer submission, and payment follow-up Identify claim issues, missing documentation, payer inconsistencies, and filing risks before they become problems Work with Clearest’s platform to manage dispute workflows, case statuses, and required documentation Help improve our IDR filing playbooks as we scale from manual expertise to tech-enabled operations Partner closely with the founding team on a fast-moving, high-impact part of the business What Makes This Role Different This is not a traditional data-entry job. Most IDR roles bury experienced operators in spreadsheets, portals, and repetitive status updates. At Clearest, the goal is to automate the mechanical parts and put experienced people where they matter most: reviewing claims, making judgment calls, catching edge cases, and filing disputes correctly. If you’ve worked in IDR, out-of-network billing, payer disputes, appeals, collections, or revenue cycle operations, we want your expertise, not just your typing speed. What We’re Looking For Experience with No Surprises Act IDR, out-of-network claims, payer disputes, appeals, or healthcare revenue cycle Familiarity with EOBs, remittance advice, CPT codes, payer underpayments, and claim documentation Strong attention to detail and comfort managing deadlines Ability to work independently in a remote, fast-paced startup environment Comfort using software tools, portals, spreadsheets, and workflow systems Clear written communication and organized documentation habits Bonus Points Direct experience filing NSA IDR disputes Experience with CMS IDR portals, payer negotiations, batching, or arbitration documentation Background in emergency medicine, anesthesia, radiology, surgery, or other OON-heavy specialties Experience at an IDR vendor, billing company, RCM firm, provider group, or payer dispute team Why Join Clearest Clearest Health is building the operating system for IDR. We combine deep claims expertise with proprietary national benchmark data and AI-assisted workflows to help providers recover money they are already owed. You’ll join early, work directly with the founding team, and help define how IDR operations should work when experienced specialists are supported by modern software instead of buried under manual tasks.

Overview We are looking for a contractor to help us build direct contact lists for independent physicians in hard-to-reach specialties. This role is focused on creative, non-standard lead generation where traditional tools like LinkedIn, ZoomInfo, or Apollo fall short. You will own the problem end to end, from identifying the right physicians to sourcing accurate mobile contact information. The Problem You’ll Work On Many independent physicians, including anesthesiologists, ER doctors, and similar specialties, do not maintain public LinkedIn profiles or easily discoverable work emails. Contacting them requires: Identifying lists of physicians by specialty Determining whether they are independent or affiliated with a larger group or hospital Inferring likely personal contact information when professional details are unavailable Verifying accuracy and relevance of contact data This is not a copy-paste lead gen role. It requires judgment, inference, and persistence. Responsibilities Source lists of physicians by specialty using public records, licensing databases, group websites, call schedules, or other creative sources Determine employment or independence status using available signals Research and identify likely mobile phone numbers using public data tools and cross-referencing techniques Validate data accuracy and flag uncertainty clearly Propose and test new methods for sourcing hard-to-find contacts Document repeatable workflows and heuristics What We’re Looking For Strong research instincts and comfort with ambiguous data Experience sourcing leads outside of standard sales tools Familiarity with public records, people search tools, and data triangulation High attention to detail and ethical judgment around data use Ability to work independently and propose solutions rather than wait for instructions Nice to Have Experience working with healthcare data or physician directories Prior work in investigative research, recruiting, or growth ops Comfort using spreadsheets and basic automation tools Engagement Contract role Paid per project or per verified lead set Fully remote

TLDR:_ Build our data warehouse schemas in dbt on AWS Glue. Health insurance experience required We’re upgrading our plan intelligence product from great to world class, and we need someone who knows health insurance data cold. You’ll design the schemas and models that power our data warehouse using dbt and AWS Glue. Your work will directly support how we analyze plan performance and generate recommendations for employers, providers, and TPAs. You’ll work directly with the CEO and partner across product and engineering. You’ll move fast, work on a unique dataset, and help shape a system that drives better health and lower costs for millions of Americans. What you’ll do Build and maintain our data warehouse schemas in dbt, running on AWS Glue. Model 50+ health plan and claims tables into clean, reliable, analytics-ready structures. Create fast, scalable SQL models that power dashboards, benchmarks, and plan recommendations. Develop frameworks for utilization analysis, risk stratification, pricing insights, and cost drivers. Work with sensitive claims data and ensure quality, accuracy, observability, and compliance. Iterate quickly with AI tools to ship analysis and data models faster than a traditional workflow. What you must have 2+ years of data analysis or data science experience in health care or insurance. Deep experience with claims, eligibility, pricing logic, or actuarial-style data. Strong SQL (complex joins, window functions, performance tuning). Experience with dbt, ETL pipelines, and cloud data stacks. AWS familiarity, ideally S3, Glue, Lambda, Redshift, or Athena. Ability to understand messy business questions and turn them into clean models. Comfort using AI tools like Claude or Cursor to boost productivity. Strong pluses Experience at companies like Flatiron, Komodo, Oscar, or health tech with claims-heavy datasets. Understanding of CPT, ICD-10, HCPCS, EDI 837/835, payer logic, and cost sharing models. Familiarity with data quality frameworks like Great Expectations. Exposure to ML workflows for risk or utilization models.

Why This Role Exists This role reports directly to the CEO and is intended to promote to CTO. We move fast: ex-founders and operators can join us within a single day of meeting. If you're looking for that level of urgency, ownership, and trust, you'll feel at home here. I previously built LLM systems at Amazon and wanted to find a market where I was the only, not the best (thanks PT). And I found it. I infiltrated health insurance companies to learn how they work and saw the massive inefficiency in how doctors get paid for out-of-network care. Clearest Health exists to fix that with data and automation that didn't exist before. Why Healthcare Payments Healthcare payments is one of the largest, most broken markets in the world. It's a $300B+ industry that runs on outdated systems and painful manual work. Providers lose billions every year, and fixing it requires LLMs that can scale where humans can't. I was looking for a market where we can compete at the service layer, use AI internally rather than vend it for immediate iteration loops, and generate revenue in a massive market. Well, this is it! We've built the foundation and secured partnerships with the three largest law firms in the country. We're now preparing to deploy across 200 provider groups. The demand is here, the market is massive, and the opportunity to shape the future of healthcare payments is wide open. What You'll Do This is a true ground-floor role: you'll be writing code that powers billions of dollars in cashflow for hospitals and physician groups, while shaping the product and culture of the company from day one. Expect your friends to ask why you're working so hard — and then ask if they can join. (intentional, non-AI em dash btw) What the First 90 Days Look Like First 30 days: Ship the LLM-frist, automated dispute-tracking pipeline that our top 3 law firm partners depend on. You'll own it end-to-end: data ingestion, status updates, and the provider-facing dashboard. First 60 days: Take over the eligibility engine and benchmark infrastructure backed by 1.8M verified IDR pricing records. Redesign the data pipeline to handle deployment across 200 provider groups. First 90 days: Lead architecture decisions across the platform. Begin building and managing the engineering team (on/offshore). You're operating as de facto CTO. Role Requirements 4+ years of professional software engineering experience Full-stack experience with ownership of features end-to-end Culture-Fit Requirements Customer-obsessed: care deeply about solving real problems for providers Opinionated but convincible: strong views, open to better ideas Great taste: in design, code, and product judgment Wicked fast iterations: bias toward action and rapid learning High trust, high loyalty: thrives in high-autonomy, high-accountability environments Mission-driven: passionate about changing healthcare economics Role Guidelines Measure twice, cut once: design features by presenting multiple options before building High ownership: run independently and own features end-to-end with minimal guidance Comfort with speed: willing to take shortcuts when strategically directed Super user: Cursor, Claude Code, Vercel, etc. Team-builder: help manage and grow an on/offshore team as we scale Greenfield builder: design and build products from repo creation Data-heavy expertise: skilled at building data-intensive applications Bonus: background in life sciences, UX, or product design Technical Stack Frontend React + React Router for the provider-facing platform (claims management, analytics dashboards, dispute tracking) Tailwind CSS + ShadCN/Mantine component library Real-time data visualization for revenue gap analysis and CPT code benchmarking Backend Node.js + TypeScript on Hono (runs on Lambda) for APIs and business logic Go for high-throughput I/O: data pipelines, batch processing, RPA automation LLM integration (Claude, GPT-4) for AI-generated dispute documentation and eligibility engines RAG archi