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Associate Director, Statistical Programming
LondonSource: WhatJobs
See advert for pay
Overview
In this role you will lead a high-performing team of statistical programmers to drive quality and efficiency across global clinical programs. You will shape programming strategy, collaborate with biostatistics and data management, and ensure timely, robust analyses that support patient access to therapies. You’ll promote standardization, adopt modern tools, and influence global strategy within Novartis Global Drug Development. This is a high-impact leadership position with cross-functional exposure and opportunities to advance technology adoption. You will work in a hybrid London setup to deliver scalable, data-driven insights.
Pay / Benefits
performance-based bonus
insurance plans
retirement plans
wellbeing resources
flexible and hybrid working options
minimum 14 weeks paid parental leave
Responsibilities
Lead statistical programming activities for large/complex projects globally or locally across phase I–IV studies
Coordinate internal and external programmers and manage workload/resources
Make programming decisions and propose strategies at project or disease level
Develop programming strategy and documentation with Biostatisticians
Manage resource allocation within the TA community and share resources across groups
May act as functional manager providing supervision and guidance to programmers
Build relationships with cross-functional teams and summarize status of deliverables
Represent SP at project level, submission teams, and local leadership
Develop strategy to standardize across studies and adopt R packages, Shiny apps, and AI-enabled tools
Support capability development, tool adoption, and alignment with standards
Ensure timely, high-quality development and validation of programming components
Oversee quality control and audit readiness of deliverables and analytic results
Provide technical recommendations and thought leadership for major initiatives
Key requirements
University or college degree in life science, computer science, data science, pharmacy, statistics, nursing or equivalent
Proven leadership, collaboration and organizational skills with ability to manage multiple trials and deadlines
Excellent understanding of clinical trials methodology, GCP and medical terminology
Ability to anticipate challenges and proactively implement solutions
Ability to work under pressure with agile team leadership
Strong interpersonal skills and ability to operate in a global environment
Ability to influence and communicate across functions and with external stakeholders
Experience in Drug Development with experience in Statistical Programming
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