Director, Analytics & Insights

About us

Norstella is a premier and critical global life sciences data and AI solutions provider dedicated to improving patient access to life-saving therapies. Norstella supports pharmaceutical and biotech companies across the full drug development lifecycle—from pipeline to patient.

About the role

Director, Analytics & Insights (Clinical RWD/RWE Solutions) – a leadership position focused on delivering real-world data (RWD) and real-world evidence (RWE) solutions to drive clinical and commercial decision-making in the life sciences industry.

Responsibilities

• Lead a team of data scientists, analysts, and researchers to design, execute, and deliver high-impact RWD/RWE analytics projects.
• Collaborate with cross-functional stakeholders (e.g., clinical, commercial, HEOR, medical affairs) to identify business needs and translate them into actionable analytical solutions.
• Oversee the development and implementation of advanced analytical methodologies, including statistical modeling, machine learning, and AI-driven approaches, to generate insights from real-world data sources (e.g., EHRs, claims, registries, wearables).
• Drive innovation in RWD/RWE solutions, ensuring alignment with industry best practices, regulatory requirements, and evolving scientific standards.
• Present findings and recommendations to senior leadership, clients, and external partners in clear, compelling ways to inform strategic decisions.
• Mentor and develop team members, fostering a culture of excellence, collaboration, and continuous learning.
• Partner with product and technology teams to enhance Norstella’s data and analytics platforms, ensuring scalability and usability.

Requirements

• Master’s or PhD in Biostatistics, Epidemiology, Data Science, Health Economics, or a related quantitative field.
• 8+ years of experience in RWD/RWE analytics within the life sciences industry, with at least 3 years in a leadership or managerial role.
• Proven expertise in statistical programming languages (e.g., R, Python, SAS) and tools for large-scale data analysis (e.g., SQL, Spark).
• Deep understanding of real-world data sources (e.g., EHRs, claims, registries) and their applications in drug development, HEOR, and commercial strategy.
• Strong knowledge of regulatory guidelines (e.g., FDA, EMA) and industry frameworks (e.g., ISPOR, ICPE) related to RWE.
• Exceptional communication skills, with the ability to convey complex analytical concepts to non-technical audiences.
• Experience working in a fast-paced, matrixed environment with a focus on delivering high-quality results under tight deadlines.

Benefits

• Remote work flexibility with a global team.
• Opportunities for professional growth and leadership development in a high-impact industry.
• Collaboration with leading pharmaceutical and biotech companies to advance life-saving therapies.

Employment Type: Full Time