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Market Access Consultant with strong data analytics and Generative AI experience to support strategic market access, pricing, reimbursement, and value communication initiatives across pharmaceutical and healthcare markets.
The successful candidate will combine expertise in market access consulting with advanced analytical capabilities to generate actionable insights from complex datasets. They will also apply Generative AI tools responsibly to improve research, scenario analysis, customer deliverables, and internal knowledge management.
Key Responsibilities
Market Access Strategy
• Develop market access strategies for pharmaceutical products across priority markets.
• Assess payer, provider, patient, and policy dynamics affecting product access.
• Conduct pricing, reimbursement, health technology assessment, and evidence requirements analyses.
• Support payer value proposition development and stakeholder engagement strategies.
• Analyze market access barriers, launch readiness, and potential mitigation strategies.
• Contribute to global and local launch planning, including access sequencing and pricing considerations.
• Prepare clear, evidence-based recommendations for clients and senior stakeholders.
Data & Analytics
• Analyze healthcare, claims, prescription, epidemiology, pricing, formulary, and payer datasets.
• Translate complex data into commercially relevant market access insights.
• Build dashboards, forecasting models, scenario analyses, and decision-support tools.
• Identify trends, gaps, and opportunities using descriptive and predictive analytics.
• Validate data quality, document methodologies, and ensure analytical outputs are reproducible.
• Collaborate with data scientists and subject-matter experts to develop fit-for-purpose analytical solutions.
• Communicate findings through compelling presentations, visualizations, and executive summaries.
Generative AI & Digital Innovation
• Apply Generative AI tools to accelerate literature reviews, market research, data interpretation, content development, and knowledge synthesis.
• Design and refine prompts, workflows, and reusable AI-enabled solutions for market access projects.
• Evaluate AI-generated outputs for accuracy, completeness, bias, confidentiality, and business relevance.
• Support the development of AI-assisted tools for payer research, competitive intelligence, evidence mapping, and value communication.
• Establish appropriate human review and governance practices for AI-supported deliverables.
• Monitor developments in Generative AI and identify opportunities to improve consulting efficiency and client impact.
• Help educate colleagues on responsible and effective use of Gen AI in a regulated healthcare environment.
Client & Project Management
• Manage workstreams, timelines, deliverables, and stakeholder communications.
• Present insights and recommendations to clients and cross-functional teams.
• Translate business questions into structured analytical approaches.
• Support proposal development, client workshops, and business development activities.
• Mentor junior team members in market access, analytics, and AI-enabled consulting methods.
Required Qualifications
• Bachelor’s degree in life sciences, healthcare, economics, public health, business, data science, or a related field.
• Approximately 3–7 years of experience in market access consulting, pharmaceutical strategy, pricing and reimbursement, HEOR, healthcare analytics, or a related discipline.
• Experience analyzing healthcare or pharmaceutical data and converting findings into strategic recommendations.
• Strong understanding of payer environments, reimbursement systems, HTA processes, and pharmaceutical commercialization.
• Demonstrated experience with data analysis and visualization tools such as:
o Excel
o SQL
o Python or R
o Power BI, Tableau, or equivalent platforms
• Practical experience using Generative AI tools for research, analysis, content generation, or workflow automation.
• Excellent written, verbal, presentation, and stakeholder-management skills.
• Ability to manage multiple priorities in a consulting or project-based environment.
Preferred Qualifications
• Master’s degree in health economics, public health, epidemiology, business, data science, or a related field.
• Experience with pharmaceutical launch strategy, pricing strategy, payer research, or reimbursement analytics.
• Knowledge of HEOR methods, real-world evidence, outcomes research, and economic modeling.
• Experience with NLP, machine learning, prompt engineering, retrieval-augmented generation, or AI workflow design.
• Familiarity with healthcare data sources, formulary data, claims data, electronic medical records, or patient-level datasets.
• Experience working across global markets, particularly the United States and major European markets.
• Consulting experience in a pharmaceutical, biotechnology, medical device, or healthcare technology environment.
Core Competencies
• Strategic and analytical thinking
• Market access and payer expertise
• Data interpretation and visualization
• Generative AI fluency
• Structured problem-solving
• Commercial awareness
• Client relationship management
• Clear and persuasive communication
• Attention to detail and quality
• Responsible use of data and AI
• Collaboration across multidisciplinary teams
Years of Experience: 8.00 Years of Experience