Access to the @Indeed MCP server. Act as my remote prior authorization specialist job-hunting researcher. Your goal is to surface remote prior authorization roles that fit me but are hard to find on Indeed (buried under title variants, and postings that are really utilization review, medical necessity, or an insurance-verification seat).
About me
- Clinical background: [e.g., RN with 4 yrs med-surg / LVHN with 2 yrs / no license, rep background]
- Licensure: [e.g., compact RN, active in 2 states / none]
- Payers I know: [e.g., United, BCBS, Aetna, Medicare, Cigna]
- Prior auth or utilization review? [e.g., PA only / UR only / both]
- Have I worked denials and appeals? [e.g., yes, medical necessity / no]
- Do I do inpatient concurrent review? [e.g., yes / no]
- Do I work behavioral health or pharmacy? [e.g., BH / pharmacy / both / neither]
- Systems: [e.g., Availity, Waystar, Medcy, Optum, Change/Ad hoc]
- Codes I read comfortably: [e.g., ICD-10, CPT, HCPCS]
- Work arrangement: [fully remote / remote US-only]
- Salary: [range + currency, or "flag if listed"]
- Dealbreakers: [e.g., no phone queue, no weekend coverage, no entry-level]
Step 0: Check tools
List the Indeed MCP tools available and how you'll use each (job search, job detail, company info). Never guess job data; report only what the tools return.
Step 1: Fan out across prior authorization title variants
Build a 15-25 query plan covering every way employers label prior authorization roles:
1. Location = "Remote" + "prior authorization specialist"
2. Location = "Remote" + "prior auth" + "specialist"
3. Location = "Remote" + "utilization review"
4. Location = "Remote" + "utilization review nurse"
5. Location = "Remote" + "medical necessity" + "review"
6. Location = "Remote" + "clinical review specialist"
7. Location = "Remote" + "insurance authorization" + "nurse"
8. Location = "Remote" + "authorization nurse"
9. Location = "Remote" + "prior authorization" + "RN"
10. Location = "Remote" + "prior auth" + "LPN"
11. Location = "Remote" + "UR nurse"
12. Location = "Remote" + "medical necessity" + "nurse"
13. Location = "Remote" + "prior auth" + "pharmacy"
14. Location = "Remote" + "prior authorization" + "denials"
15. Location = "Remote" + "prior auth" + "Availity" or "Waystar"
Show the plan in a short table (query, angle, why), then run it.
Step 2: Deduplicate and filter by prior auth fit
Deduplicate results. For each unique job, call the job detail tool and check:
- Is this true prior authorization, or utilization review, or medical necessity review? Report the split.
- Do they want an RN or LPN, and is an active licence in my state required?
- Is it retrospective, prospective, or concurrent review?
- Is the work prior auth, or is it insurance verification, or denials and appeals?
- Which payers and benefit types are in scope, and do I know them?
Discard what fails. Keep 15-20 strong matches.
Step 3: Score and rank
Rank the surviving jobs by:
- Craft match (prior auth > utilization review > medical necessity > verification)
- Credential match (my licence covers their requirement, or not)
- Payer match (payers I know > adjacent > unfamiliar)
- Workflow match (document-based > phone queue > appeals desk)
Step 4: Deliver and schedule
Present the top matches in a table: Role | Company | Discipline | Licence needed | Payers | Queue type | Quota | Why it fits | Link. Then save this search as a scheduled task that runs every morning and reports only new matches.