Senior Associate - Market Access
Senior Associate - Market Access
three across3-5 Years
- Posted 3 hours ago
- Be among the first 10 applicants
Job Description
Role Overview
- Support pharma/biopharma client projects by transforming APLD, formulary, coverage, and healthcare datasets into actionable market access insights.
- Analyze payer, IDN, GPO, PBM, and coverage data to support access strategy, pull-through execution, and account planning.
- Build data pipelines and BI reports using Data Lake architecture and multiple integrated datasets.
- Perform data integration, harmonization, transformation, and univariate/multivariate analysis.
- Ingest, clean, and harmonize anonymized patient-level data to analyze treatment journeys, adherence, persistence, switching, and access barriers.
- Integrate MMIT formulary data, including coverage status, prior authorization, restrictions, step edits, and covered lives.
- Develop payer and channel scorecards across lines of business and geographies.
- Build IDN and GPO opportunity maps to identify influence pathways, member alignment, and contracting opportunities.
- Analyze coverage differences across Commercial, Medicare, and Medicaid segments.
- Prepare executive summaries, pre-reads, presentations, and data-driven recommendations for clients.
- Identify appropriate datasets for new business requests and develop SQL queries and analytical outputs.
- Translate complex data into clear, decision-oriented business insights.
- Understand client business requirements, data, operating rules, and standard operating procedures.
- 3 5 years of experience working with pharmaceutical/biotechnology datasets such as Claims, Payer Coverage, and secondary healthcare data.
- Strong experience in data processing, profiling, cleansing, standardization, and integration.
- Advanced SQL and analytical skills.
- Experience with Data Lake / cloud data environments.
- Hands-on experience with Python / Jupyter Notebooks / SageMaker.
- Experience with BI tools such as Tableau, Power BI, Qlik, or QuickSight.
- Strong data visualization and data storytelling skills.
- Ability to perform univariate and multivariate analysis.
- Strong problem-solving and analytical capabilities.
- Ability to work independently and collaborate effectively with teams and clients.
- Bachelor's or Master's degree in Data Science, Statistics, Mathematics, Econometrics, Engineering, Finance, Management Science, or another quantitative discipline.
More Info
Key Skills
data storytelling
SageMaker
Jupyter Notebooks
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