Exec. Director, Advanced Analytics & Data Science

COMPANY:

At BioCryst, we share a deep commitment to improving the lives of people living with complement-mediated and other rare diseases. For over three decades we’ve been guided by our passion for not settling for “ordinary” in our quest to develop novel medicines. We leverage our expertise in structure-guided drug design to develop first-in-class or best-in-class oral small-molecule and protein therapeutics, led by the efforts of our team of expert scientists in our Discovery Center of Excellence in Birmingham, Alabama. Our global headquarters is in Durham, North Carolina, our European headquarters is in Dublin, Ireland and our employees span the globe across sites in multiple countries. We are proud of our culture of engagement and accountability that rewards people for innovative thinking and achievement of key objectives. For more information, please visit our website at www.biocryst.com or follow us on LinkedIn and Instagram.

 

JOB SUMMARY:

The Executive Director, Advanced Analytics and Data Science, will lead BioCryst’s advanced analytics strategy, driving a data-driven culture and supporting business decisions across Commercial (Sales, Marketing, Market Access, Patient Services, Managed Markets), Medical Affairs, Health Economics & Outcomes Research (HEOR), and Clinical Development. This leader will have consistent interactions with C-suite executives and oversee a multidisciplinary team, integrating data science, forecasting, and business analytics to deliver actionable insights, innovative methodologies, and strategic recommendations that accelerate BioCryst’s growth and impact in rare diseases. #LI-Remote

 

ESSENTIAL DUTIES & RESPONSIBILITIES: 

Strategic Leadership & Vision

• Set the vision and strategy for the advanced analytics and data science.
• Lead, mentor, and develop a high-performing analytics team, fostering innovation, collaboration, and continuous improvement.
• Ensure alignment with the SDIO leadership on overall strategy.

Advanced Analytics and Data Science

• Oversee the design and implementation of predictive models, machine learning algorithms, and statistical analyses to support business decisions.
• Direct the evaluation and integration of large-scale datasets, including anonymized patient-level data (APLD), real-world evidence (RWE), claims, and operational data.
• Develop and implement innovative analytical approaches for insight generation, including data mining, exploration, modeling, deployment, and assessment.
• Ensure robust data governance, data integrity, and compliance with privacy and regulatory standards, including tokenization and anonymization of patient data.

Forecasting and Business Intelligence

• Lead the development of forecasting methodologies for Commercial functions, ensuring alignment with business performance updates and strategic goals.
• Oversee the creation and maintenance of dashboards, reports, and KPIs to inform brand performance, sales projections, and strategic initiatives.
• Guide the development, alignment, and management of incentive compensation plans for Sales, partnering with Sales Leadership and Marketing.

Cross-Functional Leadership

• Provide strategic leadership and guidance to Commercial, Medical Affairs, HEOR, Clinical Operations, and SDIO to integrate analytics and insights across the organization.
• Partner with Medical Affairs and HEOR on data strategy and external communications regarding the value of BioCryst’s product portfolio (RWE and RWD).
• Collaborate with IT, engineering, and strategic operations to design scalable data pipelines and analytics infrastructure.
• Cultivate and manage strategic partnerships with external vendors and data partners.

Innovation & Continuous Improvement

• Proactively evaluate and incorporate new data sources, analytical tools, and methodologies to maximize impact.
• Champion adoption of AI-based tools and advanced analytics platforms.
• Develop BioCryst’s advanced analytics capabilities through continual evaluation and implementation of innovative methodologies and tools.

Team & Project Management

• Direct the project prioritization, resource allocation, and delivery of analytics and data science team’s initiatives.
• Ensure accuracy, completeness, and timeliness of analyti