SVP, Head of Data Analytics

Role Summary:

The Senior Vice President (SVP), Head of Data Analytics leads a multidisciplinary team responsible for biostatistics, statistical programming, and data management. This strategic leadership position requires a broad knowledge of clinical data management, programming and statistical analysis tools to plan studies and interpret results from clinical, modelling and simulation, and epidemiologic studies. We are seeking a visionary leader with deep expertise in data analytics, a proven track record of driving innovation, and a passion for advancing rare disease research. We are committed to leveraging cutting-edge science and innovative technologies to accelerate drug discovery and improve patient outcomes. This role plays a pivotal role in driving data-driven decision-making across all stages of drug development.

The SVP, Head of Data Analytics is a subject matter expert concerning global regulatory agencies as well as ICH guidelines and regulations applicable for the conduct, analysis and reporting of clinical trials in rare diseases. This person provides coaching to team members to enable them to engage in and provide quality input at internal and external meetings including regulatory interactions and meetings with key opinion leaders. This person is a strong advocate within Dyne for Data Analytics’ involvement taking a prominent role in research & development.

Primary Responsibilities include:

• Provide strategic direction and leadership for the data analytics function, aligning with corporate goals and objectives
• Establish and execute on a strategic roadmap for biostatistics, statistical programming and data management for Dyne as we prepare for commercialization
• Serve as the subject matter expert and point person for data analytics for interactions with regulatory agencies, bringing in team members as appropriate
• Develop and implement a comprehensive data analytics strategy to support the company's rare muscle disease pipeline
• Lead and mentor a high-performing team of biostatisticians, statistical programmers, and clinical data managers
• Foster a culture of collaboration, innovation, and continuous learning to drive team success
• Provide organizational leadership to balance time, quality, and cost requirements
• Strategically set people goals including internal career development and talent management as well as alternative resourcing strategies, where needed
• Establish robust data governance processes and standards to ensure the quality, integrity, and security of clinical trial data
• Implement best practices for data collection, management, and analysis in compliance with regulatory requirements
• Oversee the design and execution of statistical analysis plans for clinical trials, including sample size calculations, randomization schemes, and statistical modeling
• Provide strategic input on study design, endpoints, and statistical methodologies
• Direct the development and validation of statistical programming code for the analysis and reporting of clinical trial data
• Ensure adherence to programming standards, best practices, and global regulatory guidelines
• Lead the clinical data management team in the collection, cleaning, and validation of clinical trial data
• Implement data management processes and systems to support efficient and accurate data capture and analysis
• Collaborate closely with cross-functional teams, including clinical development, regulatory affairs, and medical affairs, to support data-driven decision-making
• Communicate key findings, insights, and recommendations to senior leadership and external stakeholders
• Be accountable for timely, production and accuracy of all statistical analyses and integrated scientific reports for clinical trial results, publications activities, scientific presentation, and regulatory submissions both local and international

Education and Skills Requirements:

• Ph.D. or M.S. in Biostatistics, Statistics, Epidemiology, or related field. Certification in clinical data management (e.g., CDM certification) is a plus
• Minimum of 20 years of progressive experience in data analytics, biostatistics, or clinical data management within the pharmaceutical or biotechnology industry including managerial expertise
• Prior experience in rare disease drug development is highly desirable
• Demonstrated track record of strategic leadership, team management, and organizational development. Proven ability to inspire and motivate teams to achieve excellence
• Expertise in statistical analysis methodologies, including clinical trial design, survival analysis, longitudinal data analysis, and Bayesian methods
• Proficiency in statistical programming languages (e.g., SAS, R) and clinical data management systems (e.g., Medidata Rave, Oracle Clinical) is essential
• In-depth understanding of regulatory requirements and guidelines related to clinical trial design, data collection, and analysis (e.g., FDA, EMA, ICH)
• Excellent written and verbal communication skills, with the ability to effectively communicate complex scientific concepts to diverse audiences
• Strong interpersonal skills and the ability to collaborate effectively with cross-functional teams in a matrixed environment

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