Data management is crucial for results coming from preclinical studies. It assist with improved decision-making, improve data quality, reduce costs, comply with regulations and improve performance. Important aspects of Data management is writing a plan, data review and data transfer.

Biostatistics: our biostatistician will help with power calculation (if necessary), statistical analysis plan, writing statistical reports, and provide other statistical input.