Payer & Market Access Expert — Gross-to-Net & Formulary Strategy

What you would do

• Create evaluation rubrics that systematically analyze commercial drugs and drug-development programs from a payer economics perspective.
• Set and pressure-test gross-to-net discount structures and formulary tier assumptions across multiple drug classes and therapeutic areas.
• Judge whether coverage, rebate mechanics, and tiering assumptions accurately reflect how insurance plans actually make formulary and pricing decisions.
• Critique rubric criteria to identify gaps or unrealistic assumptions about payer behavior, economics, or market dynamics.
• Apply hands-on market access knowledge to improve AI evaluation accuracy for drug economic analysis.

Who they want

• US-based payer or market access professional with 5+ years of direct experience in pricing, reimbursement, or managed markets.
• Hands-on expertise with gross-to-net mechanics, rebate structures, and formulary tiering strategies across multiple drug classes.
• Familiarity with biotech and pharmaceutical development programs and how they navigate payer coverage requirements.
• Capacity to commit between 10-20 hours across a one-to-two week pilot, with prospects for continued engagement on additional work.
• Strong analytical judgment about payer behavior, contract economics, and strategic pricing decision-making in the pharmaceutical market.

Main skills

What the interview asks about

1. 1.Payer decision-making mechanics

   Understanding what drives payer coverage and tier placement decisions reveals whether candidates grasp the real economic and clinical tradeoffs that insurance plans navigate.

   For example: “A comparable drug in the same therapeutic class gets tiered as a preferred alternative with lower patient cost-share. What factors about the competing drug's clinical profile, acquisition cost, or payer contract would explain this formulary position?”

2. 2.Gross-to-net economic modeling

   Evaluating discount assumptions requires understanding the components of real-world net pricing: rebates, patient assistance, channel markups, and true cost-to-plan.

   For example: “A 40% manufacturer discount appears generous, but after accounting for wholesale rebates, specialty pharmacy margins, and patient copay cards, the actual payer acquisition cost is 18%. How would you model these components realistically?”

3. 3.Drug class tier strategy

   Formulary logic differs by therapeutic area: some classes reward innovation and clinical differentiation, others emphasize generic alternatives; recognizing these patterns reveals knowledge of real payer strategy.

   For example: “In the cardiovascular space, payers often tier GLP-1 drugs as specialty tier with prior authorization. For diabetes, GLP-1s receive preferred tier. What payer economics and clinical considerations explain this different approach?”

4. 4.Assumption credibility assessment

   Distinguishing realistic from unrealistic assumptions about payer behavior requires lived experience; candidates must spot when rubrics misrepresent how insurance plans actually operate.

   For example: “A rubric assumes all payers require prior authorization for off-label drug use across every indication. What gaps or exceptions in this assumption would you flag based on your market access experience?”

5. 5.Coverage policy drivers

   Coverage decisions involve clinical evidence, budget impact, competitive landscape, and patient advocacy; understanding these competing pressures distinguishes sophisticated from naive analysis.

   For example: “You're reviewing a rubric that rates a specialty drug's coverage likelihood. It weights clinical efficacy heavily but minimally considers budget impact projections. How would you recalibrate the assumption?”

A task you may get

Create a rubric template for analyzing formulary placement and gross-to-net assumptions for a drug in a specific therapeutic class, then explain your criteria and validate them against real-world payer behavior.

How to prepare

• Document 3 examples from your market access experience showing how payers tiered or priced drugs based on clinical data, competitive position, and budget impact.
• Gather recent formulary documents or payer case studies illustrating the tier placement logic and rebate structures you've negotiated or analyzed.
• Prepare specific examples of how gross-to-net economics varied by payer for comparable drugs, identifying what drove the differences.
• Review how drug class characteristics affect payer strategy differently across oncology, cardiology, diabetes, and specialty care spaces.

The facts

Pay

$175–200/hr

Hours

Part time, 15 hours a week

Where

Remote · Remote — US based or deep US market experience

Field

Life, Physical, and Social Science

Posted

8/5/2026

Places left

5

We wrote this page from the public Mercor listing. It may be out of date, so read the full posting before you apply.