Top Tech Jobs & Startup Jobs in Seattle, WA

Lead the Central Statistical Monitoring team, ensuring subject safety and data integrity in clinical trials through statistical analysis and collaboration with various stakeholders.

Lead statistical analyses for Real-World Data (RWD) and Evidence (RWE) studies, oversee programming deliverables, analyze large datasets, and provide statistical consultation for biostatistics projects.

The intern will support analytical development and QC activities, conduct data analysis, and manage QC documents in a fast-paced, collaborative environment.

Manage and oversee eTMF processes, including system validation, data migration, and process optimization. Collaborate with teams for reporting and improvements while ensuring project deadlines are met.

The Director, Global Regulatory Project Management leads oncology regulatory strategies, ensuring successful global drug submissions, while driving operational excellence and collaboration across teams.

As a Senior Manager, R&D Data Steward, you will oversee stewardship of Pharma R&D data, ensuring data quality and compliance across the R&D value chain. You will lead a team, operationalize data governance, and drive improvements in data management processes, leveraging automation and cross-functional collaboration to enhance data-driven insights.

The Associate Director, Platform Engineering is responsible for building and maintaining a digital platform, overseeing engineering strategy, compliance, team mentorship, and cross-functional collaboration to ensure platform reliability and innovation.

The Senior Learning Business Partner in Global Clinical Operations focuses on developing technical and leadership capabilities, designing training programs, and ensuring alignment with regulatory standards.

Responsible for designing and implementing data governance capabilities in R&D, collaborating with stakeholders to ensure compliance and optimize data management across clinical domains.

The Senior Manager in R&D Data Literacy & Monetization drives the strategic utilization of R&D data, transforms datasets into reusable products, and promotes data literacy across the organization, ensuring effective governance and promoting advanced analytics and AI initiatives.