Senior Statistical Programmer FSP

Overview

As a Senior Statistical Programmer, you will apply advanced SAS programming and CDISC SDTM/ADaM expertise to support or lead clinical trials across phases. You will work embedded with a global pharmaceutical client, with remote work options, contributing to data analysis, reporting, and submission readiness. Your role focuses on generating datasets, TLFs, and submission documents while collaborating with cross-functional teams. This position offers growth within a values-driven environment that emphasizes scientific rigor and innovation.

Pay / Benefits

• fully remote work option
• training and development support
• collaboration with global teams
• opportunity to work with a sponsor and Cytel backing
• competitive exposure to pharma biotech industry
• growth opportunities within a senior role

Responsibilities

• Manipulate, analyze, and report clinical trial data (safety and efficacy) using SAS
• Create and validate SDTM/ADaM datasets and analysis files, as well as tables, listings, and figures
• Produce and QC validation programming and complex ad-hoc reports
• Apply Efficacy analysis expertise to projects
• Assist in creating and reviewing submission documents and eCRTs
• Communicate with internal teams and the client to clarify specifications and issues
• Take lead duties when required
• Collaborate effectively in a globally dispersed, cross-cultural team environment

Key requirements

• 8+ years SAS programming experience with clinical trial data in pharma/biotech (bachelor’s degree)
• 6+ years experience with a master’s degree or higher
• Strong SAS data manipulation, analysis, and reporting skills
• Solid experience implementing CDISC SDTM/ADaM standards
• Strong QC/validation and ad-hoc reporting skills
• Proficiency in Efficacy analysis
• Familiarity with drug development lifecycle and clinical trial data manipulation, analysis, and reporting
• Experience supporting submissions including define.xml and submission documents
• Experience leading projects or study teams preferred
• Excellent analytical and troubleshooting skills
• Ability to deliver high-quality output under tight timelines
• Ability to work in a globally distributed team with cross-cultural partners

• Excellent communication
• Strong collaboration and team mindset
• Adaptability and flexibility
• SAS programming for clinical trials
• CDISC standards SDTM/ADaM
• TLFs (tables, listings, figures) generation

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