Director Statistical Programming - Technical Solutions

Proclinical Group; London; On-site; GBP 60,000 - 100,000; Full time

Job summary

An innovative firm is seeking a Director of Statistical Programming to lead the development of programming standards in the oncology and pharmaceutical sectors. This role focuses on enhancing efficiency and quality in statistical analysis and reporting. You will collaborate with various teams, ensuring alignment with company goals and regulatory requirements. The ideal candidate will possess extensive experience in statistical programming, advanced proficiency in SAS, R, and Python, and a strong background in managing multiple projects. Join a forward-thinking company dedicated to making a tangible difference in the world.

Qualifications

• Extensive experience in statistical programming within pharma or biotech.
• Advanced proficiency in SAS, R, and Python for clinical data analysis.

Responsibilities

• Lead the design and maintenance of statistical computing environments.
• Collaborate with teams to implement a global statistical programming ecosystem.

Skills

SAS

R

Python

Statistical Programming

Automation

Machine Learning

Data Visualization

Problem Solving

Education

Bachelor's in Statistics

Advanced Degree in Statistics or Related Discipline

Tools

Statistical Computing Environments

Cloud-Based Platforms

Macros

Automation Tools

Job description

We are on the hunt for bold, innovative thinkers who are ready to help push the boundaries of science and make a tangible difference in the world.

Proclinical is seeking a Director of Statistical Programming - Technical Solutions to lead the development and implementation of innovative programming standards and solutions. This role focuses on enhancing efficiency and quality in statistical analysis and reporting within the oncology and pharmaceutical sectors. You will work closely with various teams to ensure alignment with company goals and regulatory requirements.

Responsibilities:

• Collaborate with the Head of Statistical Programming to implement a global statistical programming ecosystem.
• Provide strategic direction for vendor oversight, technology innovation, automation, and process standardization.
• Lead the design, implementation, and maintenance of statistical computing environments to support clinical trials.
• Ensure infrastructure scalability, security, and compliance with regulatory standards.
• Develop and standardize reusable macros, scripts, and automation pipelines.
• Establish governance frameworks for code quality, version control, and documentation.
• Promote automation to streamline routine tasks and reduce manual effort.
• Evaluate and integrate emerging technologies into statistical programming workflows.
• Provide technical guidance and training on advanced programming techniques and industry trends.
• Partner with IT, Data Management, and other functions to align with enterprise data strategies.
• Mentor teams on advanced programming techniques and best practices.
• Act as a key contact for external vendors and partners to ensure alignment on standards and deliverables.

Key Skills and Requirements:

• Bachelor's degree in Statistics, Mathematics, Computer Science, or related discipline; advanced degree preferred.
• Extensive experience in statistical programming within the pharmaceutical, biotechnology, or CRO industry.
• Advanced proficiency in SAS, R, and Python.
• Experience with statistical computing environments and cloud-based platforms.
• Hands-on experience with macros, automation tools, and innovative solutions.
• Familiarity with machine learning, artificial intelligence, and data visualization tools.
• Proven ability to manage multiple projects and coordinate with external vendors.
• Mastery of SAS programming for clinical trial data analysis.
• Knowledge of CDISC standards and regulatory submission requirements.
• Strong problem-solving skills with a focus on automation and process improvement.
• Ability to adapt to a fast-paced, dynamic environment.

If you are having difficulty in applying or if you have any questions, please contact Heidi Hennigan at [e-mail].

Apply Now:

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