Senior Real World Data Consultant

A company is looking for a Senior Real World Data Analytics Consultant to lead analytical efforts across diverse therapeutic areas for a high-profile sponsor. Key Responsibilities: Lead the development and execution of statistical analysis plans for large-scale real-world evidence studies Oversee and mentor junior analysts, ensuring accuracy and quality in their work Establish and maintain strong relationships with client counterparts, providing strategic insights based on data findings Qualifications: Minimum 7-9 years of experience in RWD analytics, biostatistics, epidemiology, or a related field, with at least 3 years in a leadership role Proven track record in managing complex observational research projects in the life sciences or healthcare sector Expertise in SAS programming and advanced proficiency in SQL, R, Python, and other relevant programming languages Deep understanding of the US healthcare system, health insurance claims data, and electronic medical records Advanced degree (Master's or PhD) in Biostatistics, Epidemiology, Data Science, Computer Science, or a related field

May 5, 2025 - 16:06
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Senior Real World Data Consultant
A company is looking for a Senior Real World Data Analytics Consultant to lead analytical efforts across diverse therapeutic areas for a high-profile sponsor. Key Responsibilities: Lead the development and execution of statistical analysis plans for large-scale real-world evidence studies Oversee and mentor junior analysts, ensuring accuracy and quality in their work Establish and maintain strong relationships with client counterparts, providing strategic insights based on data findings Qualifications: Minimum 7-9 years of experience in RWD analytics, biostatistics, epidemiology, or a related field, with at least 3 years in a leadership role Proven track record in managing complex observational research projects in the life sciences or healthcare sector Expertise in SAS programming and advanced proficiency in SQL, R, Python, and other relevant programming languages Deep understanding of the US healthcare system, health insurance claims data, and electronic medical records Advanced degree (Master's or PhD) in Biostatistics, Epidemiology, Data Science, Computer Science, or a related field