Unternehmensbeschreibung
AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas – immunology, oncology, neuroscience, and eye care – and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on X, Facebook, Instagram, YouTube, LinkedIn and Tik Tok.
Stellenbeschreibung

QUALIFIKATIONEN

• Bachelor’s degree informatics, bioinformatics, data science, NLP or equivalent education and typically 12 years of experience, or Master’s Degree or equivalent education and typically 10 years of experience, or PhD and typically 4 years of experience. Alternatively, relevant work experience.
• Must have 1-3 years of experience designing, developing and deploying microservice solutions.
• Career level proficiency in Python. Intermediate-level knowledge of data mining techniques and application design.
• Proven expertise with Machine Learning and other advanced analytics techniques.
• Demonstrated effective communication skills. Demonstrated ability to communicate analytical and technical concepts to stakeholders with and without technical background.
• Demonstrated problem-solving and business analysis skills.
• Demonstrated ability to work with multiple stakeholders to realize solutions in a GCP/GLP environment.
• Experience working in Cloud Computing environments (e.g., AWS, Azure, etc) using Docker is preferred.
• Strong skills in customer orientation and prioritization required, taking into account business criticality for CSM for immdiate requests as well as cost benefit considerations for more complex requests, like automations, reports, new processes or new systems
• Ability to think in multiple dimensions and balance many priorities to ensure that clinical supply systems are set up and maintained in a way facilitating that supplies are delivered within optimal timing, on budget and are of the highest quality while ensuring adherence to applicable regulatory requirements.
• Must have understanding of importance of compliance in a regulated environment and be capable of applying this knowledge to improve current processes.
• Very good English and German oral and written skills are relevant

• Responsible for the definition of new data-driven features and analytics strategies, collaborating with global cross-functional teams to write the data requirements specifications to ensure an optimized and efficient process flow.
• Responsible for establishing and documenting global data design principles and quality standards, creating work instructions that ensure analytical solutions are robust, scalable, and consistent with broader organizational data strategies.
• Independently responsible for the research, development, and implementation of advanced statistical methods and machine learning models to identify patterns in user behavior, anticipate data integrity issues, and improve data accuracy across systems.
• Responsible for ensuring all data solutions are compliant with internal data governance policies and relevant external regulations, which supports business needs and maintains full traceability in all workflows.
• Responsible for communication with global stakeholders as an analytics consultant, participating in product planning and iteration cycles to evaluate new processes and ensure analytics components align with end-user needs.
• Independently responsible for the preparation, implementation, and maintenance of data services and API endpoints to support real-time data retrieval, including the complete deployment and support on internal servers.
• Responsible for error resolution that occur in data systems by performing code-level integration testing of database interactions (Oracle SQL) and model outputs, and is responsible for all steps from root cause analysis until resolution.
• Responsible for system lifecycle activities, including the complete documentation of all data pipelines, models, and validation logic, as well as maintaining version-controlled codebases.
• Responsible for the preparation and implementation of proposals for the global optimization of data-related work processes to improve operational efficiency and the end-user experience.
• Responsible for the evaluation of new analytical technologies and methodologies, taking into account system functionalities and integration options with existing infrastructure. Serves as a key decision-maker in defining the path forward for data-driven features.