Principal Statistical Programmer FSP

Cytel; Burgos; A distancia; EUR 45.000 - 70.000; Jornada completa

Descripción de la vacante

A leading company in pharmaceutical manufacturing seeks a Principal Statistical Programmer to join their innovative team working on clinical trials. The successful candidate will utilize advanced SAS programming skills and expertise with CDISC standards to deliver high-quality data analyses and outputs. Enjoy a role that offers autonomy, collaboration, and the chance to contribute to impactful patient treatments. This position is fully remote, providing excellent flexibility and opportunities for growth.

Formación

• 6+ years SAS experience with clinical trial data; 4+ years with a master's.
• Strong understanding of CDISC ADaM standards.
• Experience with drug development lifecycle.

Responsabilidades

• Program datasets and outputs using SAS based on customer requests.
• Generate and validate ADaM datasets and TLFs for clinical studies.
• Communicate with cross-functional teams regarding project specifications.

Conocimientos

SAS programming

CDISC standards

data manipulation

analytical skills

communication

Educación

Bachelor’s degree in Statistics

Master's degree in related fields

Descripción del empleo

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JOB DESCRIPTION

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 Principal Statistical Programmer, 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

As a Principal Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards (ADaM and TFL) to support programming on the basis of clinical study and project data. You will be assigned to our client's programming team with responsibilities including publication analyses, HTA-related data reanalysis, ad hoc analyses, and other challenging activities. This role can be performed as fully remote.

Our values

• We believe in applying scientific rigor to reveal the full promise inherent in data.
• We nurture intellectual curiosity and encourage everyone to approach new challenges with enthusiasm and the desire for discovery.
• We believe in collaboration and invite a diversity of perspectives, drawing on a variety of talents to create a wealth of possibilities.
• We prize innovation and seek intelligent solutions using leading-edge technology.

Responsibilities

How you will contribute :

• Perform programming of datasets and outputs based on customer requests, using predominantly SAS, with flexibility and independence.
• Generate and validate ADaM datasets / analysis files, and tables, listings, and figures (TLFs) for clinical studies in phases 1-4, including pooled analyses like ISS / ISE.
• Production and QC / validation programming.
• Generate complex ad-hoc reports utilizing raw data.
• Apply strong understanding / experience of efficacy analysis.
• Create and review related documents.
• Communicate with internal cross-functional teams and clients regarding project specifications, status, issues, or inquiries.
• Perform lead duties when called upon.
• Serve as a team player, willing to go the extra mile to meet deadlines.
• Be adaptable and flexible when priorities change.

Qualifications

Our successful candidate will have:

• Bachelor’s degree in Statistics, Computer Science, Mathematics, or related fields.
• At least 6 years of SAS programming experience with clinical trial data in the Pharmaceutical & Biotech industry (or 4 years with a master's degree or higher).
• Strong SAS data manipulation, analysis, and reporting skills. R knowledge is a plus.
• Solid experience implementing the latest CDISC ADaM standards.
• Proficiency in efficacy analysis.
• Experience with drug development lifecycle and clinical trial data analysis and reporting.
• Experience supporting neuroscience or immunotherapy projects is a plus.
• Excellent analytical and troubleshooting skills.
• Ability to produce quality outputs within challenging timelines.
• Flexible, independent, self-organized, and good communicator.
• Ability to work effectively in a globally dispersed team environment.

Additional Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Research, Analyst, and Information Technology
• Industry: Pharmaceutical Manufacturing

This job is active and accepting applications.