Associate Director, Data Science Biopharma

Would you like to join an international team working to improve the future of healthcare? Do you want to enhance the lives of millions of people? Grifols is a global healthcare company that since 1909 has been working to improve the health and well-being of people around the world. We are leaders in plasma-derived medicines and transfusion medicine and develop, produce and market innovative medicines, solutions and services in more than 110 countries and regions.

You will be responsible for transforming our complex and fragmented data ecosystem into a cohesive insights engine. This role is a unique blend of a data scientist, a decision scientist, and a strategic advisor. You will be empowered to provide actionable recommendations that optimize our business end-to-end, from portfolio planning and supply chain to brand-level commercial execution.

• Strategic & Consultative Partnership:
  Serve as a primary insights partner to Commercial leadership. Proactively identify business challenges and translate them into analytics-driven solutions.
• End-to-End Business Optimization:
  Lead analytics for portfolio optimization, therapeutic area (TA) strategy, and in-line brand performance. Providing insights to shape strategy.
• Advanced Modeling & Forecasting:
  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.
• Commercial Effectiveness:
  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.
• Data-Driven Storytelling:
  Act as the primary "storyteller," translating complex analyses from disparate data sources into a clear, compelling, and actionable narrative for senior leadership.
• Cross‑Functional
  
  Collaboration:
  
  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.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skills, education, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

• 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.

Work is performed in an office environment with exposure to electrical office equipment. Frequently sits for 6–8 hours per day. Frequent hand movement of both hands…