Details for the position are as follows: 3-month contract to start with the possibility of extension depending on performance and business needs Rate: $74-79 an hour Location: 100% remote Job Description: Independently develop, program, and execute statistical analyses and simulations to support clinical development programs. Perform statistical simulations, including Monte Carlo simulations, power calculations, and Type I error evaluations. Implement multiple imputation (MI) techniques to address missing data in clinical trial analyses. Develop and apply multiplicity adjustment methods, including family-wise error rate (FWER) control. Utilize SAS as the primary statistical programming language, with opportunities to leverage R for additional statistical analyses and simulations. Extract, manipulate, and analyze clinical trial data from CDISC SDTM and ADaM datasets. Validate statistical methods and analytical results through simulations and independent programming. Apply advanced statistical methodologies to support clinical study objectives and analytical deliverables. Collaborate with clinical development and statistical teams to ensure accurate, timely completion of assigned projects. Independently develop, program, and execute statistical analyses and simulations to support clinical development programs. Perform statistical simulations, including Monte Carlo simulations, power calculations, and Type I error evaluations. Implement multiple imputation (MI) techniques to address missing data in clinical trial analyses. Develop and apply multiplicity adjustment methods, including family-wise error rate (FWER) control. Utilize SAS as the primary statistical programming language, with opportunities to leverage R for additional statistical analyses and simulations. Extract, manipulate, and analyze clinical trial data from CDISC SDTM and ADaM datasets. Validate statistical methods and analytical results through simulations and independent programming. Apply advanced statistical methodologies to support clinical study objectives and analytical deliverables. Collaborate with clinical development and statistical teams to ensure accurate, timely completion of assigned projects. Required Skills: Advanced degree in Statistics, Biostatistics, or a closely related quantitative field. PhD strongly preferred; exceptional candidates with a Master's degree and extensive relevant experience will also be considered. Strong hands-on SAS programming experience, including independently developing and executing statistical analyses. Experience performing statistical simulations, particularly power calculations, Type I error control, and Monte Carlo methods. Experience implementing multiple imputation and multiplicity adjustments. Familiarity with clinical trial datasets, including SDTM and ADaM. Strong understanding of statistical methodologies and the ability to independently develop, execute, and validate analyses. Ability to communicate statistical approaches, methodologies, and results effectively.

Preferred Qualifications

Experience within pharmaceutical, biotechnology, CRO, or clinical research environments. Proficiency in R programming in addition to SAS. Experience supporting or executing Statistical Analysis Plans (SAPs). Experience collaborating with clinical development and cross-functional research teams. Previous experience performing advanced statistical programming and simulations in clinical research settings. By applying for this job, you agree to receive calls, AI-generated calls, text messages, or emails from and its affiliates, and contracted partners. Frequency varies for text messages. Message and data rates may apply. Carriers are not liable for delayed or undelivered messages. You can reply STOP to cancel and HELP for help. You can access our privacy policy at Privacy Policy