Senior Statistical Programmer - Biomarker (FSP remote)

Cytel - EMEA; City Of London; Remote; GBP 100,000 - 125,000; Full time

Job summary

A leading pharmaceutical consulting firm is seeking a Senior Statistical Programmer to work embedded within a pharmaceutical client. The ideal candidate will have a Bachelor's degree in a related field and proficiency in SAS or R for data analysis. This fully remote position involves transforming data, performing statistical analysis, and collaborating with cross-functional teams. Join us at a critical time of innovation in patient treatment.

Qualifications

• Proficiency in SAS or R programming for data analysis.
• Experience analyzing large datasets including omics data.
• Strong ability in statistical analysis and visualization.

Responsibilities

• Write and maintain code in SAS and R.
• Transform raw data into analysis-ready datasets.
• Perform statistical analysis and generate visualizations.
• Ensure quality of biomarker data and manage vendors.
• Participate in study design and contribute to strategies.

Skills

SAS programming

R programming

Statistical analysis

Data visualization

SQL

Education

Bachelor's degree in Statistics, Computer Science, or Mathematics

Job description

JOB DESCRIPTION

Sponsor-dedicated: 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.

Position Overview:

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.

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

• 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.

QUALIFICATIONS

Here at Cytel we want our employees to succeed and we enable this success through consistent training, development and support. To be successful in this position you will have:

• Bachelor’s degree in one of the following fields Statistics, Computer Science, Mathematics, etc.
• Technical skills:
• 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.