Principal Statistical Programmer - FSP (Permanent Homebased) m/w/d

Job Overview

As a Principal Statistical Programmer you will provide advanced technical expertise to develop process methodology for the department to meet internal and external clients’ needs, across complex projects and studies. This involves planning and coordinating the development of integrated programming solutions, serving the full spectrum of statistical programming needs. You will provide internal consulting services, including specifications and user needs analysis for complex project or client requirements.

Key Responsibilities

• Perform, plan, coordinate, and implement programming for complex studies.
• Program, test, and document statistical programs for use in creating statistical tables, figures, and listings.
• Program analysis datasets (derived datasets) and transfer files for internal and external clients.
• Perform programming quality control checks for the source data and report data issues periodically.
• Interpret project‑level requirements and develop programming specifications, as appropriate, for complex studies.
• Provide advanced technical expertise in conjunction with internal and external clients, and independently bring project solutions to SP teams.
• Fulfil project responsibilities at the level of technical team lead for single complex studies or a group of studies.
• Directly communicate with internal and client statisticians and clinical team members to ensure appropriate understanding of requirements and project timelines.
• Estimate programming scope of work, manage resource assignments, communicate project status, and negotiate/re‑negotiate project timelines for deliverables.
• Use and promote the use of established standards, SOPs and best practices.
• Provide training and mentoring to SP team members.

Requirements

• Bachelor's Degree in Mathematics, Computer Science, Statistics, or related field.
• 7+ years’ Statistical Programming experience within the Life Science Industry.
• Strong experience with Efficacy studies.
• Advanced knowledge of statistics, programming, and/or clinical drug development processes.
• Advanced knowledge of computing applications such as R, SAS, SAS Graph, and SAS Macro Language.
• Advanced knowledge of relevant data standards (such as CDISC/ADaM/SDTM).

Benefits

• Global exposure
• Variety of therapeutic areas
• Collaborative and supportive team environment
• Access to cutting‑edge and innovative, in‑house technology
• Excellent career development and progression opportunities
• Work‑Life Balance, with a strong focus on positive well‑being

Additional Information

This role is not eligible for UK visa sponsorship.