Data Analytics and Integration Director
3 days ago
Takeda is a world-class R&D organization that unlocks innovation and delivers transformative therapies to patients. As an Associate Director, you will play a key role in developing the vision, strategy, and roadmap for building, maintaining, and continuously learning data and analytics platforms in Global Biologics.
Key Responsibilities- Work with scientists across Global Biologics to develop and build end-to-end data management capabilities for biologics discovery.
- Partner with Research Technologies and Lab Systems teams to build scalable and efficient data pipelines for ingesting, processing, and storing structured and unstructured data from multiple sources.
- Implement best practices in data management, ETL processes, and data quality assurance to maintain high standards of data integrity and reliability in Takeda Research.
- Map existing data sources and schemas to ontology concepts and classes.
- Ensure alignment between ontology models and existing data structures to facilitate data integration and interoperability.
- Enable real-time collaboration around data through the use of dashboards and other visualizations.
- Oversee the implementation of data visualization tools and platforms to empower stakeholders with intuitive access to data insights.
- Own data accuracy, quality, and governance for Global Biologics, accountable for supporting reporting, analytics, and the user community.
- Evaluate and recommend new technologies and tools to enhance data engineering and analytics capabilities, considering scalability, security, and cost-effectiveness.
- Oversee the design and execution of experiments, data analysis, and interpretation to guide decision-making and further learning and optimize drug discovery efforts.
- Provide guidance and mentorship to team members, fostering their professional growth and development.
- Collaborate effectively within a matrix environment, with scientists across various scientific disciplines, therapeutic areas, and departments to develop a strategy and appropriate goals for data science work.
- PhD degree in Computational Biology, Bioinformatics, Computer Science, or a related field with 7+ years of experience, or MS with 13+ years of experience, or BS with 15+ years of experience.
- A minimum of 7 years of experience in data science, engineering, and bioinformatics in the life sciences.
- Proven track record of building and/or developing scalable data pipelines in a pharmaceutical or biotechnology setting.
- Experience with data visualization tools and advanced analytics techniques.
- Exceptional leadership and people management skills.
Takeda is a patient-focused company that inspires and empowers employees to grow through life-changing work. We are certified as a Global Top Employer and offer stimulating careers, encourage innovation, and strive for excellence in everything we do. We foster an inclusive, collaborative workplace, in which our teams are united by an unwavering commitment to deliver Better Health and a Brighter Future to people around the world.
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