Tools & Standards Specialist/Principal Statistical Programmer (FSP)

Cytel - EMEA; City Of London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading pharmaceutical services provider is seeking a Tools and Standards Specialist to enhance the Statistical Computing Environment for a major client. The ideal candidate has over 8 years of SAS programming experience and a strong knowledge of CDISC standards. Responsibilities include developing tools for clinical trial reporting and collaborating across teams to drive automation. This role offers the chance to innovate in a dynamic environment.

Qualifications

• At least 8 years of SAS programming experience in a drug development setting.
• Strong experience with Statistical Computing platforms.
• Deep knowledge of CDISC ADaM and SDTM standards.

Responsibilities

• Develop and maintain the client's Statistical Computing Environment.
• Create proof-of-concept models for new ideas.
• Work with cross-functional teams to drive automation.

Skills

SAS programming

Statistical Computing platforms

Workflow automation

Problem-solving

Collaboration

Tools

Visual Studio Code

R

Python

Git

Job description

Overview

JOB DESCRIPTION

Sponsor-dedicated: Working fully embedded within one of our pharmaceutical clients, with the support of Cytel right behind you, you'll be at the heart of our client's innovation. As a Tools and Standards Specialist you will be dedicated to one of our global pharmaceutical clients; a company that is driving the next generation of patient treatment, where individuals are empowered to work with autonomy and ownership. This is an exciting time to be a part of this new program.

Position Overview: This position reports to the Director, Biostatistics and Programming in the FSP Services business unit in Cytel. The Tools and Standards Specialist will have a background in Statistical Programming using SAS as well as experience participating and leading in standardization and automation. We are looking for a highly experienced and technically skilled specialist who can convert their knowledge into tools that help make reporting of data from clinical trials and projects more efficient with high quality.

Responsibilities

• Participate in developing and maintaining our client\'s Statistical Computing Environment (SCE). This may include standard setups but also customized Visual Studio Code extensions
• Developing and maintaining solutions in SAS, potentially also expanding into R or Python.
• Contributing to workflow automation in compliance with CDISC standards for ADaM, SDTM datasets and the production of tables, listings and figures (TLF).
• Designing and implementing applications and other tools for internal use in support of improved and scalable processes.
• Create proof-of-concept models to demonstrate innovative new ideas.
• Work with cross-functional teams; identify opportunities to drive automation and efficient operations.

Qualifications

• At least 8 years of SAS programming experience in a drug development setting.
• Having worked on large and complex projects that involve collaboration across different functions.
• Strong experience with Statistical Computing platforms.
• High sense of accountability while working indepently, with minimal need for supervision.
• Good Team Player and Driver capabilities
• Deep knowledge of CDISC ADaM and SDTM standards.
• Experience producing Tables, Listings, and Figures (TLFs).
• Experience and skill in application development and automation.
• Experience with Git for collaboration and version control.
• Experience leading proof-of-concept applications and interacting with various stakeholders.
• A flexible and creative mindset with strong problem-solving skills.
• Being proactive and having the desire to improve upon the existing processes.

Preferred Qualifications (nice to have)

• Familiarity with other programming languages such as Python.
• Familiarity with Domino Data Lab