Senior or Principal Statistical Programmer - ONCOLOGY - Sponsor dedicated Oeiras

Overview

Senior or Principal Statistical Programmer - ONCOLOGY - Sponsor dedicated role at Fortrea.

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Join to apply for the Senior or Principal Statistical Programmer - ONCOLOGY - Sponsor dedicated role at Fortrea.

You can be 100%
- based, or work from one of our local offices in your home country. In our
- dedicated Flexible Solutions business unit, you will be central to the successful delivery of complex global oncology clinical trials (Phases I–III) for leading pharmaceutical companies. You will contribute to developing and validating SAS programs for data analysis and reporting, supporting submissions, regulatory responses, publications, and
- hoc requests. Your expertise will directly impact the advancement of oncology treatments and the lives of thousands of patients worldwide.

Responsibilities

• Perform programming activities for oncology clinical trials, ensuring quality, accuracy, and compliance with study timelines and regulatory standards.
• Review SAPs and TFL shells from a programming perspective, providing technical input to optimize oncology analyses.
• Advise on the design and development of complex TFL shells and statistical outputs for oncology studies.
• Develop and/or lead the creation of specifications for SDTM and ADa
  M datasets.
• Develop and maintain SAS programs to create SDTM and ADa
  M datasets and generate Tables, Figures, and Listings (TFLs); perform thorough quality control (QC) checks.
• Produce and validate Define. xml/PDFs, Analysis Results Metadata (ARM), annotated CRFs, and Reviewers’ Guides to support SDTM and ADa
  M submissions.
• Contribute to the preparation of regulatory submission packages and responses to regulatory and client audits.
• Identify, propose, and implement process improvements to enhance programming efficiency, quality, and standardization.
• Stay up to date on industry standards, global regulatory requirements, Fortrea SOPs, and CDISC developments relevant to oncology data.

Qualifications

• Degree in Mathematics, Life Sciences, Statistics, Computer Science, or a related field; equivalent vocational training and/or significant professional experience may be considered.
• Minimum of 4 years’
  - on experience in oncology clinical trials.
• Proven experience with SAS programming (Base SAS, SAS Macros, SAS/STAT) and ability to debug complex programs.
• Strong practical knowledge of CDISC standards (SDTM, ADa
  M) and experience generating safety and efficacy reporting outputs for Phase III oncology studies.
• Experience with regulatory submission deliverables, including Define. xml, ARM, and reviewers’ guides.
• Strong organizational skills with an autonomous yet collaborative working style.
• A curious and analytical mindset, with a keen eye for detail and quality.
• Business fluency in English, both spoken and written.

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