Clinical Data Engineering Lead

Role Overview

Lead Clinical Data Engineering within the Oncology Data Science team, shaping early clinical development by building innovative biomarker data infrastructure, championing translational research, unlocking AI-powered discoveries, and raising the bar for operational excellence in biomarker data and multimodal analytics across Novartis' oncology trials.

What You Will Do

Define and implement the clinical data engineering roadmap, integrate advanced tools and AI/ML-ready infrastructure, align clinical and pre-clinical data engineering initiatives, lead and manage a high-performing clinical data engineering team, drive strategic initiatives and partnerships, oversee data ingestion, transformation, and validation processes, and deploy scalable solutions for data harmonization, metadata management, and interoperability.

Why It Might Be a Fit

This role requires a Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline, with a minimum of 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry.

Requirements

• Master's degree in computer science, Bioinformatics, Data Engineering, Software Engineering or a closely related discipline
• Minimum 10 years of hands-on experience architecting and managing clinical data engineering, data management, and bioinformatics solutions in pharmaceutical or biotechnology industry
• Demonstrated expertise in designing, implementing, and scaling data infrastructure to support clinical development
• Proven ability to define, document, and operationalize end-to-end assay data generation and processing pipelines
• Extensive experience with oncology clinical trials, including regulatory-compliant management of clinical biomarker data and application of data standards
• Deep familiarity with FAIR data principles, data harmonization, and enterprise data governance frameworks
• Strong leadership in technical teams, with advanced communication and stakeholder management skills

Benefits

• Comprehensive benefits package
• 401(k) with company contribution and match
• Generous time off package
• Performance-based cash incentive
• Annual equity awards