Clinical Data Lead: Trial Data Strategy & Delivery

Novartis Group Companies; East Hanover (NJ); Hybrid; USD 120,000 - 222,000; Full time

Benefits offered by this job

401(k) with company match

Health, life and disability benefits

Generous time off package

Job summary

Novartis Group of Companies seeks an experienced Clinical Data Manager to lead data strategy and delivery across multiple trials from data collection to database lock readiness.

The role emphasizes strategic data leadership, quality-first delivery, and collaboration with cross-functional teams in a regulated R&D environment, ensuring inspection readiness and timely submissions while maintaining data integrity and standards.

Qualifications

• Bachelor's degree or equivalent in life sciences, computer science, or a related field.
• Postgraduate qualification is beneficial.
• Experience managing clinical trial data across multiple studies.
• Knowledge of GCP and regulatory expectations.

Responsibilities

• Lead clinical data management across multiple trials, ensuring high-quality data outputs.
• Define trial-level data strategies aligned with program objectives and standards.
• Oversee end-to-end data management from data collection to database lock readiness.
• Represent CDM in cross-functional forums to influence decisions.
• Identify data risks and mitigate through proactive measures.
• Ensure inspection readiness and data quality across portfolio.

Skills

Clinical data management

Leadership

Cross-functional collaboration

Regulatory knowledge

GCP knowledge

Data analysis

Education

Bachelor's degree in life sciences, computer science, or related field

Postgraduate qualification in a relevant field

Job description

Novartis Group of Companies seeks an experienced Clinical Data Manager to lead data strategy and delivery across multiple trials from data collection to database lock readiness.

The role emphasizes strategic data leadership, quality-first delivery, and collaboration with cross-functional teams in a regulated R&D environment, ensuring inspection readiness and timely submissions while maintaining data integrity and standards.