Global Statistical Programming Lead — Trials Impact & Innovation

Legend Biotech USA; East Hanover (NJ); Hybrid; USD 145,600 - 270,400; Full time

Benefits offered by this job

Performance-based incentive

Equity award eligibility

Comprehensive benefits

Job summary

Novartis seeks an Associate Director Statistical Programmer in East Hanover, NJ. You will lead a team of programmers across global clinical programs, driving efficiency, quality, and innovation to deliver timely insights for drug development.

In this leadership role, you will develop programming strategies, oversee resource planning, ensure audit readiness, and collaborate with Biostatistics, Data Management, and clinical teams to support regulatory submissions and decision making, with a focus

Qualifications

• Experience leading statistical programming for large clinical trials.
• Strong knowledge of GCP and clinical trial terminology.
• Ability to manage multiple trials and meet deadlines.
• Experience with R and data visualization tools.

Responsibilities

• Lead statistical programming activities for projects globally or locally.
• Coordinate programmers and develop programming strategy and documentation.
• Develop programming strategy to standardize across studies and adopt tools.
• Ensure timely, high-quality deliverables and audit readiness.
• Provide authoritative recommendations as SP function representative.

Skills

Leadership

Cross-functional collaboration

Statistical Programming

Clinical Trials

GCP Knowledge

Problem solving

Global teamwork

Education

Life Science degree

Statistics degree

CS/Data Science degree

Tools

R

R Shiny

Git

Tidyverse

Job description

Novartis seeks an Associate Director Statistical Programmer in East Hanover, NJ. You will lead a team of programmers across global clinical programs, driving efficiency, quality, and innovation to deliver timely insights for drug development.

In this leadership role, you will develop programming strategies, oversee resource planning, ensure audit readiness, and collaborate with Biostatistics, Data Management, and clinical teams to support regulatory submissions and decision making, with a focus