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Chief Data Strategist for Global Life Sciences
2 months ago
We're seeking a Chief Data Strategist to lead our Global Data & AI organization in developing and executing the company's data-driven initiatives.
As a key member of our team, you'll be responsible for driving innovation in data management, analytics, and advanced technologies to accelerate drug development and regulatory submissions.
The ideal candidate will have a strong background in data strategy, leadership, and collaboration with cross-functional teams.
We estimate the annual salary for this position to be around $250,000-$300,000 based on industry standards and location.
About the Job- Data Strategy & Leadership:
- Develop and implement a comprehensive data strategy aligned with the company's goals in clinical trials and regulatory pathways.
- Ensure seamless integration of data from various sources to support drug development pipelines.
- Establish data governance frameworks to ensure data quality, security, and compliance with regulatory standards.
- Advanced Analytics & Innovation:
- Lead the development of data and advanced analytics products and platforms utilizing machine learning, AI, and bioinformatics.
- Collaborate with scientific and clinical leaders to identify areas where data-driven approaches can optimize development processes.
- Foster a culture of innovation, ensuring the team stays at the forefront of emerging technologies.
- Technology Infrastructure & Tools:
- Oversee the design and management of scalable data architecture and technology platforms that support high-volume data processing.
- Ensure interoperability of data systems across functions such as research, clinical development, regulatory, and commercial.
- Lead efforts to build or integrate new technologies and tools that facilitate real-time data analysis, visualization, and collaboration.
- Cross-Functional Collaboration:
- Partner with R&D, clinical, regulatory, and commercial teams to understand their data needs and deliver tailored solutions.
- Act as a key liaison with external stakeholders, including regulatory agencies, research institutions, and technology vendors.
- Team Leadership & Development:
- Demonstrate strong leadership and inspire your team to drive innovation and excellence.
- Promote diversity of thought and create an inclusive environment where data innovation can thrive.
Requirements
A master's degree or PhD in Data Science, Computer Science, AI, or a related field is required. The ideal candidate will have 15+ years of experience in data and analytics leadership roles, with at least 7 years in life sciences or pharmaceutical industries working in a global and complex organization.