Senior Statistical Programmer - Biomarker; FSP remote

Senior Statistical Programmer - Biomarker (FSP remote)

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 Senior 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.

As a Senior Statistical Programmer, you will leverage your advanced SAS programming skills and proficiency in CDISC standards. This role can be performed as fully remote.

• 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.

• Data analysis and programming:
  • Write, document, and maintain code in programming languages like R, SAS.
  • Transform raw data into standardized, analysis-ready datasets.
  • Perform statistical analysis and generate visualizations from pre-clinical and clinical study data.
• Data management and quality:
  • Organize, manage, and ensure the quality of biomarker data.
  • Coordinate with external vendors and labs to resolve data issues and reconcile vendor data.
  • Maintain integrated tracking and inventory logs for biological samples.
• Study design and strategy:
  • Participate in the design and planning of studies related to biomarkers.
  • Contribute to the development of biomarker strategies and biomarker analysis plans.
  • Provide statistical expertise for the development of diagnostic biomarkers.
• Collaboration and communication:
  • Work with cross-functional teams, including R&D, clinical operations, and statisticians.
  • Collaborate with stakeholders to define data specifications and requirements.
  • Present results and communicate statistical concepts to various internal and external audiences.

• Bachelor’s degree in one of the following fields:
  Statistics, Computer Science, Mathematics, etc.
• Proficiency in programming, especially with statistical software like SAS or R, and database languages like SQL.
• Experience with statistical analysis, data visualization, and modeling.
• Familiarity with analyzing large, complex datasets such as omics data (e.g., genomics, proteomics) is a plus.

• Mid-Senior level

• Full-time

• Research, Analyst, and Information Technology

• Pharmaceutical Manufacturing