Senior Statistical Programmer - Biomarker (FSP remote)

Cytel; Remote; GBP 40,000 - 70,000; Full time

Job summary

A global pharmaceutical company is seeking a Senior Statistical Programmer based in the Greater London area. This role involves leveraging advanced SAS programming skills while working fully remote. Key responsibilities include transforming raw data into ready datasets, performing statistical analysis, and collaborating with cross-functional teams. A Bachelor’s degree in statistics, Computer Science, or Mathematics is required, alongside proficiency in SAS or R. This is an exciting opportunity to be part of a pioneering program in patient treatment.

Qualifications

• Proficiency in 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 is a plus.

Responsibilities

• Leverage advanced SAS programming skills and proficiency in CDISC standards.
• Write and maintain code in programming languages like R and SAS.
• Transform raw data into standardized analysis-ready datasets.
• Perform statistical analysis and generate visualizations from study data.
• Organize, manage and ensure the quality of biomarker data.
• Participate in the design and planning of biomarker-related studies.
• Work with cross-functional teams including R&D and clinical operations.

Skills

SAS programming

R programming

Data visualization

Statistical analysis

Database languages like SQL

Education

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

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.
• 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.

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.

Cytel Inc. is an Equal Employment / Affluent Action Employer. Applicants are considered for all positions without regard to race, color, religion, sex, national origin, age, veteran status, disability, sexual orientation, gender identity or expression, or any other characteristics protected by law.