Market Access Consultant-Associate

2 - 7 years

2 - 5 Lacs

Posted:None| Platform: Naukri logo

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Work Mode

Hybrid

Job Type

Full Time

Job Description

Key Responsibilities

  • Design and execute market access projects, including payer landscape assessments, formulary access analyses, deep dives into access barriers, contracting scenario modeling, and contract operations.
  • Extract, clean, and integrate longitudinal datasets (e.g., claims, patient services, formulary data) using SQL and scripting languages (Python/SAS).
  • Leverage realworld evidence sources to quantify patient journeys and treatment dynamics from access standpoint.
  • Act as a Market Access subject matter expert, guiding and onboarding Associates and Associate Consultants.
  • Collaborate with internal leadership and client teams to define project objectives, deliverables, and timelines.
  • Present analytical findings and recommendations through compelling slide decks.
  • Develop interactive dashboards and reports in Tableau or Power BI to effectively communicate insights and support stakeholder decisionmaking.

Required Qualifications

  • 4+ years in U.S. life sciences consulting, with at least 2 years focused on market access, health economics & outcomes research (HEOR), or a related field.
  • Deep understanding of the U.S. healthcare system, including payer mix (commercial, Medicaid, Medicare) and market access levers (rebates, contracting).
  • Prior exposure to pharmaceutical pricing strategies and contracting negotiations is a plus.
  • Proficiency in data wrangling and ETL tools: Excel, SQL, Python, or SAS.
  • Handson experience with realworld data sources and formulary databases.
  • Strong analytical mindset with meticulous attention to detail.
  • Excellent verbal and written communication, capable of translating complex analyses into clear and intuitive recommendations.
  • Selfmotivated and highly organized, with the ability to manage multiple projects and deadlines independently.
  • Collaborative team player who thrives in a clientfacing environment.

Education

  • Bachelors degree in Statistics, Data Science, Engineering, or a related field.

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