Senior Market Access Specialist, Data and Analytics

Accountabilities:

• Design, build, and maintain production-grade SQL data models and Power BI dashboards integrating payer claims, wholesaler EDI 852/867, copay, PAP, and specialty pharmacy datasets.
• Develop automated reporting and self-service analytics solutions that replace manual processes, improve data accessibility, and accelerate decision-making for business and field teams.
• Embed AI and Generative AI capabilities, including conversational analytics, natural-language querying, anomaly detection, and pattern recognition, into analytics solutions.
• Prototype and operationalize machine learning models for use cases such as prescription abandonment, patient persistence, gross-to-net forecasting, and demand prediction.
• Analyze payer, patient services, wholesaler, and specialty pharmacy data to identify coverage trends, prior authorization impacts, channel dynamics, inventory signals, patient friction, and access risks.
• Build patient journey analytics covering referral, benefits verification, prior authorization, copay adjudication, first fill, refills, persistence, and discontinuation to identify intervention opportunities.
• Develop analytics for gross-to-net drivers, including rebates, copay spending, patient assistance costs, returns, and chargebacks, while supporting forecasting and scenario modeling.
• Partner with Market Access, Payer Strategy, Trade, Patient Services, Sales Operations, Finance, IT, Data Science, and external vendors to translate business questions into scalable technical solutions.
• Establish standardized data definitions, business rules, KPIs, and reporting logic while maintaining reliable, audit-ready datasets.
• Identify and resolve data quality, completeness, and freshness issues in collaboration with technology, master data, and external data partners.
• Champion responsible AI practices, including data privacy, model transparency, appropriate governance, and compliance with HIPAA and applicable pharmaceutical regulations.

Requirements:

• Bachelor’s degree in Data Science, Computer Science, Information Technology, Statistics, Applied Mathematics, Economics, Information Systems, Business Administration, or a related discipline; a master’s degree is preferred, with equivalent relevant experience also considered.
• 5+ years of progressive experience in data analytics, business intelligence, or data engineering, preferably within pharmaceutical, life sciences, healthcare, or a related environment.
• Hands-on experience working with pharmaceutical data assets, including payer claims, wholesaler EDI 852/867, specialty pharmacy feeds, copay/PAP transactional data, and sales-out datasets.
• Proven experience developing production-grade Power BI dashboards and SQL-based data models, with strong data engineering practices around validation, documentation, version control, scalability, and reliability.
• Practical experience applying AI, machine learning, and/or Generative AI tools such as Microsoft Copilot, Azure OpenAI, ChatGPT Enterprise, or Python-based ML libraries to business problems.
• Strong understanding of Market Access concepts, including gross-to-net, payer coverage, formulary dynamics, prior authorization, prescription abandonment, specialty distribution, and patient access.
• Strong analytical and problem-solving abilities, with the capacity to translate complex datasets into clear recommendations and compelling business narratives.
• Ability to collaborate effectively with technical and nontechnical stakeholders and translate business requirements into practical data and AI solutions.
• Strong understanding of data governance, privacy, compliance, and responsible AI principles within regulated healthcare or pharmaceutical environments.

Benefits:

• Approximate annual salary range of $125,000–$160,000, with final compensation based on factors including knowledge, skills, abilities, and geographic location.
• Performance-based incentive opportunities.
• Competitive total rewards package designed to support employees’ health, financial security, and overall well-being.
• 401(k) plan with company match.
• Healthcare coverage and a broad range of additional employee benefits.
• Inclusive workplace committed to supporting diverse perspectives, veterans, separated service members, and individuals with disabilities.
• Opportunities to work on data, AI, and analytics initiatives with meaningful impact on healthcare, patient access, and commercial decision-making.
• This position is not eligible for visa sponsorship.