Senior Market Access Specialist, Data and Analytics

This is a fully remote position, open to applicants in Florida, +3 more states.

📋 Description

• Design, create, and sustain SQL-based data models and Power BI dashboards that integrate payer claims, EDI 852/867, copay, PAP, and specialty pharmacy data.

• Develop automated reporting solutions suitable for production that replace manual spreadsheet processes.

• Create self-service analytics products for Market Access leaders, payer account managers, trade managers, and field sales teams.

• Implement data engineering practices, including validation, version control, and thorough documentation.

• Integrate AI and Generative AI functionalities into dashboards and analytics solutions.

• Prototype and operationalize machine learning models for predicting abandonment risk, persistence, and gross-to-net forecasting.

• Evaluate payer claims data to identify coverage trends, assess prior authorization and step-edit impacts, analyze prescription abandonment, and understand net price dynamics.

• Assess wholesaler inventory and sales-out data for insights on channel trends, demand signals, and inventory health.

• Convert patient services data into actionable insights aimed at enhancing patient experiences.

• Collaborate with teams from Payer Strategy, Trade, Patient Services, Field Sales, Finance, Government Pricing, IT, Master Data, vendors, and external partners.

• Establish KPIs and recognize coverage shifts, channel disruptions, and risks to patient access.

• Develop analytics on the prescription journey that encompasses referral, BV/PA, copay adjudication, first fill, refill, persistence, and discontinuation.

• Identify points of drop-off in the patient journey and opportunities for intervention.

• Generate insights related to copay programs, PAP eligibility, and optimization of EMR/e-coupons.

• Monitor drivers of gross-to-net and identify variances early on.

• Assist in demand forecasting, tracking contract performance, and measuring pull-through outcomes.

• Utilize AI-driven forecasting and scenario modeling for gross-to-net assumptions and financial planning.

• Create standardized business rules, definitions, and reporting logic.

• Address data quality issues and enhance data freshness and completeness.

• Maintain reliable, audit-ready datasets for executive reporting.

• Advocate for responsible AI usage, data privacy, model transparency, HIPAA compliance, and adherence to pharmaceutical regulatory standards.

⛳️ Requirements

• A BS / BA in Data Science, Computer Science, Information Technology, Statistics, Applied Math, Economics, Information Systems, Business Administration, or a related field is required; equivalent experience is also acceptable.

• 5+ years of progressive experience in data analytics, business intelligence, or data engineering.

• Experience in pharmaceutical, life sciences, or healthcare environments is preferred.

• Practical experience with payer claims, wholesaler EDI 852/867, specialty pharmacy data feeds, copay/PAP transactional data, and comparable sales-out data.

• Experience in designing and delivering production-grade Power BI dashboards and SQL-based data models.

• Familiarity with AI, machine learning, and/or Generative AI tools such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, or Python ML libraries.

• Strong knowledge of gross-to-net, payer coverage, formulary dynamics, prior authorization, prescription abandonment, and specialty distribution.

• Must be eligible to work without visa sponsorship.

🏝️ Benefits

• Performance-based incentives.

• 401(k) with company matching.

• Healthcare coverage.

• A wide array of additional benefits.

• Dynamic career paths.

• Comprehensive development opportunities.

• Opportunities to learn from talented colleagues globally.

• Benefits that support physical, financial, and emotional well-being.