​Life Sciences

Our programmers produce SDTM and ADaM datasets from raw data and ensure that they conform to CDISC standards. On top of that we’re very capable in producing tables, listings, and figures using SAS, including descriptive statistics and other most common statistical methods. We follow either your procedures or ours.

​In the early stages of your studies our biostatisticians provide input to study protocols, perform meta-analyses, and write statistical analysis plans, including the selection and design of moderate and complex statistical models. Once data flows in we apply such methods and interpret the study results.

​​We have a specialised team for the conversion of clinical trial data for regulatory submissions. Equipped with innovative software our scientifically educated data managers and clinical programmers relieve you from the burden, allowing you to focus on all other aspects of your submission.

​Our Mapping Engine was developed with a single purpose in mind: making the conversion of clinical data faster, easier, and cheaper. Through its ingenious design it translates specifications into SDTM datasets without any further programming, effectively eliminating one of the most time consuming steps in the process of generating submission ready datasets.

​​We develop custom solutions that expedite the creation of SDTM and ADaM datasets and Define‑XML. Our experts build CDISC compliant clinical data warehouses or data pools from legacy trials. Our trainers provide off-the-shelf and bespoke training on the topics of SAS programming and CDISC data standards.

​​​Our data managers  are expert in building clinical trial databases, designing eCRFs, and provide support all the way through data cleansing and database lock. From experience they keep tabs on key stakeholders, both inside and outside the organisation, and ensure a smooth, consistent, and timely data flow.