Clinical Data Science Lead

As a Clinical Data Science Lead at ICON, you will play a crucial role in driving data science initiatives within clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions. You will contribute to the advancement of innovative therapies by overseeing data science projects and leading a team of data professionals. Key Responsibilities: - Leading the design and implementation of data science strategies to enhance clinical trial data analysis. - Collaborating with cross-functional teams to identify key data requirements and analytical needs. - Overseeing the development of statistical models and analytical tools to optimize data interpretation. - Mentoring and guiding team members in best practices for data analysis and visualization. - Communicating findings and insights to stakeholders through presentations and reports, influencing project direction. Qualifications Required: - Advanced degree in statistics, data science, life sciences, or a related field. - Extensive experience in data analysis and project leadership within a clinical research setting. - Strong expertise in statistical software and data visualization techniques. - Exceptional analytical and problem-solving skills, with a focus on translating data into actionable insights. - Excellent communication and leadership skills, with the ability to foster collaboration across diverse teams. As a Clinical Data Science Lead at ICON, you will play a crucial role in driving data science initiatives within clinical trials, ensuring that our analyses provide meaningful insights that inform strategic decisions. You will contribute to the advancement of innovative therapies by overseeing data science projects and leading a team of data professionals. Key Responsibilities: - Leading the design and implementation of data science strategies to enhance clinical trial data analysis. - Collaborating with cross-functional teams to identify key data requirements and analytical needs. - Overseeing the development of statistical models and analytical tools to optimize data interpretation. - Mentoring and guiding team members in best practices for data analysis and visualization. - Communicating findings and insights to stakeholders through presentations and reports, influencing project direction. Qualifications Required: - Advanced degree in statistics, data science, life sciences, or a related field. - Extensive experience in data analysis and project leadership within a clinical research setting. - Strong expertise in statistical software and data visualization techniques. - Exceptional analytical and problem-solving skills, with a focus on translating data into actionable insights. - Excellent communication and leadership skills, with the ability to foster collaboration across diverse teams.