Job Description At AbbVie, we strive to push the boundaries of science and innovation to improve life quality globally. As part of our vibrant team, you'll help transform the possibilities in neurological and psychiatric care into realities. Join a global powerhouse with over 50,000 employees worldwide, including 3,000 in Germany, where your expertise will address tomorrow's unmet medical needs. AbbVie Data Science is the best-in-class team within its cross-industry peer group and is responsible for bringing people, process, and technology together to generate business value from clinical trials data. Our operational model is exemplified through execution and innovation. This role is key to ensuring successful delivery against the program- and study-level accountabilities assigned to Data and Statistical Sciences. Make your mark by: Ensuring that the requirements of each study protocol are reflected in systems designs and that common data standards are used Ensuring that systems are specified to optimize on functionality, end user experience, and data flow Taking accountability for the on-time design and delivery of new clinical systems, integrations between systems, as well any required changes to clinical systems (e.g., EDC, IRT,). Utilizing project management tools to track study progress and plan work. Anticipates and identifies issues that could affect timelines or quality and develops options and solutions Ensuring that TA- and program-level consistency is achieved Interacts with and influences DSS and cross-functional team members to achieve program and study objectives. Ensuring that assigned work product is synchronized with upstream and downstream dependencies Ensuring adherence to federal regulations and applicable local regulations, Good Clinical Practices (GCPs), ICH Guidelines, AbbVie Standard Operating Procedures (SOPs), and to functional quality standards. Stays abreast of new and/or evolving local regulations, guidelines and policies related to clinical development Responsible for coaching and mentoring Data Science Associates Participating in DSS and cross-functional innovation and process improvement initiatives