Team Lead Engineering Primary Data Analysis, Aggregation and Reporting

At Roche you can show up as yourself, embraced for the unique qualities you bring. Our culture encourages personal expression, open dialogue, and genuine connections,  where you are valued, accepted and respected for who you are, allowing you to thrive both personally and professionally. This is how we aim to prevent, stop and cure diseases and ensure everyone has access to healthcare today and for generations to come. Join Roche, where every voice matters.

The Biometrics team is pivotal in drug development, managing the acquisition, ingestion, curation, and analysis of clinical trial and real-world data to enable comprehensive regulatory filings. By ensuring data quality, applying advanced analytics, and adhering to regulatory standards, the team transforms complex datasets into actionable insights. Their work underpins evidence-based decisions, accelerates drug development timelines, and ensures successful regulatory submissions, enabling innovative therapies to reach patients efficiently.
 

As a  Team Lead you will spearhead a high-performing team focused on establishing a simplified, scalable advanced scientific analytics ecosystem. This role is at the forefront of our digital transformation, leveraging AI and machine learning to accelerate primary and secondary data analysis for clinical development. You will balance technical visionary leadership with a focus on people development to ensure our analytical workflows meet the highest production standards.

• Lead and inspire a high-performing engineering team, fostering an environment of innovation in AI and machine learning.

• Drive the end-to-end delivery of validated, production-grade automated analytics workflows to accelerate clinical data analysis.

• Architect a scalable scientific analytics ecosystem that serves as the foundation for enterprise-wide digital transformation.

• Define an AI driven  technical roadmap and platform strategy to consolidate, onboard and host a diverse portfolio of future analytics use cases.

• Empower team members by supporting self-defined career journeys and removing roadblocks to their professional growth.

• Manage senior stakeholders across Pharma Development, negotiating priorities to align technology with business objectives.

• Champion engineering excellence by implementing initiatives that improve collaboration and psychological safety across development teams.