Clinical Research Associate
Pubblicato il 20-08-2026 - Syneos Health in Milano
CRA I
Syneos Health® is a leading fully-integrated life sciences services organization built to accelerate customer success. Our Clinical Solutions team members act with a drug development mindset, applying their years of experience and deep expertise to truly understand customer needs and represent those in the solutions we shape.
Whether you join us in a Functional Service Provider partnership or a Full-Service environment, you’ll collaborate with passionate problem solvers, innovating as a team to help our customers achieve their goals. We are agile and driven to deliver – for one another, our customers, and, most importantly, for those in need.
Why Syneos Health
technical and therapeutic area training; We are committed to building an inclusive culture – where you can authentically be yourself. We are continuously building the company we all want to work for and our customers want to work with. Because we know that when we bring together smart colleagues from across the world, we can shape the future of healthcare,
driving impact for customers and defining the pace of patient progress.
Performs site qualification, site initiation, interim monitoring, site management activities and close-out visits (performed on-site or remotely) ensuring regulatory, ICH-GCP and/or Good Pharmacoepidemiological Practices (GPP) and protocol compliance. Uses judgment and experience to evaluate overall performance of site and site staff and to provide recommendations regarding site-specific actions; immediately communicates/escalates serious issues to the project team and with guidance develops action plans. Maintains a working knowledge of ICH/GCP Guidelines or other applicable guidance, relevant regulations, and company SOPs/processes.
Verifies the process of obtaining informed consent has been adequately performed and documented for each subject/patient, as required/appropriate. Assesses factors that might affect subject/patient’s safety and clinical data integrity at an inve