Senior Associate - Market Access

Role OverviewSupport 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. Key ResponsibilitiesIngest, 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. Required Skills3 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. Preferred EducationBachelor's or Master's degree in Data Science, Statistics, Mathematics, Econometrics, Engineering, Finance, Management Science, or another quantitative discipline.