Senior Real World Statistics Contractor

A company is looking for a Senior Real World Statistics Contractor-Remote. Key Responsibilities Responsible for all statistical work for observational studies, real world data investigations, and clinical trials, including protocol review and data analysis Participates in Study Execution Team meetings, providing strategic input and technical guidance to cross-functional teams Collaborates with stakeholders to support the development of study documents and ensures timely delivery of high-quality statistical outputs Required Qualifications Master's or PhD degree in Biostatistics or related fields with 3 to 7 years of relevant work experience Minimum of 2 years of experience in observational studies within the life sciences industry or relevant fields 3 years of experience in SAS and R programming Demonstrated ability to design and analyze observational studies with knowledge of the US healthcare system Strong programming skills and familiarity with data analysis methods

Jun 4, 2025 - 23:40
 0
Senior Real World Statistics Contractor
A company is looking for a Senior Real World Statistics Contractor-Remote. Key Responsibilities Responsible for all statistical work for observational studies, real world data investigations, and clinical trials, including protocol review and data analysis Participates in Study Execution Team meetings, providing strategic input and technical guidance to cross-functional teams Collaborates with stakeholders to support the development of study documents and ensures timely delivery of high-quality statistical outputs Required Qualifications Master's or PhD degree in Biostatistics or related fields with 3 to 7 years of relevant work experience Minimum of 2 years of experience in observational studies within the life sciences industry or relevant fields 3 years of experience in SAS and R programming Demonstrated ability to design and analyze observational studies with knowledge of the US healthcare system Strong programming skills and familiarity with data analysis methods