Vice President of Drug Development Data and Analytics

Category: Digital & IT

Location:Ørestad, Capital Region of Denmark, DK

• Develop and implement a comprehensive data strategy aligned with the company’s goals in clinical trials, and regulatory pathways together with line of business
• Ensure the seamless integration of data from various sources (e.g., clinical trials, genomics, real-world data) to support drug development pipelines.
• Establish data governance frameworks to ensure data quality, security, and compliance with regulatory standards (e.g., FDA, EMA, HIPAA).

• Lead the development of data, advanced analytics products and platforms utilizing machine learning, AI, and bioinformatics to extract insights from complex clinical datasets.
• Collaborate with scientific and clinical leaders to identify areas where data-driven approaches can optimize development processes.
• Foster a culture of innovation, ensuring the team stays at the forefront of emerging technologies, such as AI-driven drug discovery, digital biomarkers, and predictive analytics.

• Oversee the design and management of scalable data architecture and technology platforms that support high-volume data processing (e.g., cloud-based infrastructures, data lakes).
• Ensure interoperability of data systems across functions such as research, clinical development, regulatory, and commercial.
• Lead efforts to build or integrate new technologies and tools that facilitate real-time data analysis, visualization, and collaboration.

• Partner with R&D, clinical, regulatory, and commercial teams to understand their data needs and deliver tailored solutions that enhance drug development efforts.
• Partner with IT team supporting line of business to ensure the data and analytics solutions are well integrated in business architecture and business portfolio
• Act as a key liaison with external stakeholders, including regulatory agencies, research institutions, and technology vendors.
• Collaborate with the regulatory and quality assurance teams to ensure adherence to industry standards and requirements for clinical trial data submissions.

• Expected to demonstrate a strong and visible leadership of the area
• Build and lead a high-performing and distributed team of product managers, data engineers, scientists, analysts, bioinformaticians, and technologists.
• Promote diversity of thought and create an inclusive environment where data innovation can thrive.

• Ensure all data activities are compliant with global regulatory requirements and industry standards (e.g., Gx P, 21 CFR Part 11).
• Oversee risk management strategies related to data privacy, security, and ethical use of data in drug development.

• Establish Data and Analytics global presence with initial development of Business Services in India
• Attract, develop and retain talents and ensure they work in a global delivery model alongside rest of the team

• Manage and execute product portfolio within timeline, quality, budget
• Track the advancement of analytics capabilities within the organization
• High satisfaction with the data and analytics services provided by the team.