SAS Data Programmer
Pubblicato il 26-08-2026 - Recordati in Milano
At Recordati, we are united by a clear purpose: unlocking the full potential of life. With a century of history behind us, we are building the next chapter of our journey, continuing to grow while keeping patients at the centre of all we do.
What drives us is a shared belief that health, and the opportunity to live life to the full, should be within reach for everyone. This brings energy to our work, shaping how we support each other and show up every day. Above all, these values bring to life our promise to everyone at Recordati, you can unlock your full potential. We know that people thrive when they can be themselves, are trusted and supported, and are given the opportunity to grow and make a meaningful contribution.
We are looking for a Statistical Programmer that will be in charge of the programming of the output (tables, figures, listings) and generating the additional datasets related to the Company’s clinical studies on new drugs or marketed drugs by the Group’s companies followed by the CROs or directly including pooling of more studies.
The person will improve and update the technical know-how about new programming techniques.
You will program and validate the output (tables, listings and figures) to support the data cleaning and the statistical analyses required for clinical studies, publications, Regulatory and Market Access requests
You will supervise the generation of the SDTM/ADaM datasets and related documents in compliance with CDISC guidelines as well as the output prepared by the CRO.
You will develop standard SAS macros, templates and utilities and prepare the corresponding validation documents
You will interact with the Statistician to prepare tables and listings according with the specification documents
You will interact with the Data Manager in cleaning activities, external data management and reporting.
You will interact with the Drug Safety Unit to evaluate the data from the pharmacovigilance database.
Scientific degree (Statistics