Senior Statistical Programmer - Biomarker (Fsp Remote)

Cytel; Remote; ZAR 600 000 - 900 000; Full time

Job summary

A leading pharmaceutical company is seeking a Senior Statistical Programmer to work remotely. This role involves advanced SAS programming, data transformation, and statistical analysis of biomarker data. Candidates should have a Bachelor's degree in Statistics or a related field and proficiency in programming, especially with statistical software. You will collaborate with cross-functional teams to drive innovation in patient treatment strategies. This position offers a full-time opportunity within a dynamic team, committed to scientific rigor and discovery.

Qualifications

• Proficiency in SAS or R programming and database languages like SQL.
• Experience with statistical analysis and data modeling.
• Familiarity with large complex datasets like omics data is a plus.

Responsibilities

• Write, document, and maintain code in R and SAS.
• Transform raw data into standardized datasets.
• Perform statistical analysis and generate visualizations.
• Organize and manage biomarker data quality.
• Coordinate with vendors to resolve data issues.
• Participate in design and planning of studies.

Skills

SAS programming

Statistical analysis

Data visualization

R programming

SQL

Education

Bachelor's degree in Statistics, Computer Science, Mathematics

Job description

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.

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

• Bachelor's degree in Statistics, Computer Science, Mathematics, or related fields.
• 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.

Seniority Level

Mid‑Senior level

Employment Type

Full‑time

Job Function

Research, Analyst, and Information Technology

Industries

Pharmaceutical Manufacturing

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