Associate Director, Quantitative Analytics & Insights

Responsibilities

• Serve as a primary insights partner to Commercial leadership.
• Proactively identify business challenges and translate them into analytics-driven solutions.
• Lead analytics for portfolio optimization, therapeutic area (TA) strategy, and in-line brand performance.
• Provide insights to shape strategy.
• Personally develop and oversee the creation of sophisticated scenario models, competitive assessments, and demand forecasts.
• Your work will directly inform long-range planning, launch strategy, and supply/channel mix decisions.
• Design and implement advanced models for commercial effectiveness (e.g., Mix Modeling, Sales Force Effectiveness/SFE, cross-channel analytics) to measure ROI and optimize resource allocation.
• Act as the primary "storyteller," translating complex analyses from disparate data sources into a clear, compelling, and actionable narrative for senior leadership.
• Be a hands-on, collaborative leader, working with data teams to integrate fragmented data sources (e.g., patient-level data, claims, specialty pharmacy, CRM, plasma collection data) into a holistic view of the business.

Qualifications

• Advanced Degree (MS, PhD, or MBA) in a quantitative field such as Data Science, Statistics, or Economics is strongly preferred.
• 7+ years of progressive experience in the pharmaceutical, biopharma, life sciences consulting or agency space.
• 4 - 6+ years of dedicated experience in a hands-on commercial analytics, data science, decision support, or insights function.
• Domain Expertise: Experience in the rare disease, plasma-derived therapies, or specialty biologics market is a significant advantage.
• Leadership & Influence: Proven track record of influencing senior leadership (VP level and above) and shaping commercial strategy with data-driven recommendations.
• Technical Proficiency: Hands-on proficiency with SQL is required. High-level proficiency in a data science language (Python or R) and data visualization tools (Tableau or Power BI) is strongly preferred.
• Data Expertise: Deep familiarity with US pharmaceutical data sources (e.g., IQVIA, Komodo, Symphony, patient-level data (PLD), specialty pharmacy/distributor data).
• Functional Expertise: Demonstrated mastery in demand forecasting, competitive intelligence, scenario modeling, and commercial effectiveness analytics.
• Exceptional business acumen; an ability to see the "big picture" from collection to patient.
• A consultative mindset with the ability to manage ambiguity and frame complex problems.
• Superior communication and "storytelling" skills; you must be able to build a narrative from the numbers.