Senior Statistical Programmer - UK (Remote/Office/Hybrid)

JR United Kingdom; Warrington; Hybrid; GBP 40,000 - 70,000; Full time

Job summary

A leading company provides an opportunity for a Senior Statistical Programmer in the UK, offering a flexible working arrangement either remote or office-based. You will be involved in supporting various projects, conducting statistical analyses, and mentoring junior staff in a collaborative environment focused on personal and professional growth.

Benefits

Supportive work environment

Opportunities for professional development

Unique company culture

Qualifications

• BSc, MSc, or PhD in a numerical discipline or relevant industry experience.
• At least 4 years of relevant experience.

Responsibilities

• Perform consistency reviews of clinical trial documents.
• Author and review study TFL shells and dataset standards.
• Lead and present in study team meetings.

Skills

Programming support

Statistical techniques

Data checks and exploration

Education

BSc, MSc, or PhD in a numerical discipline

Tools

SAS

Job description

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Senior Statistical Programmer - UK (Remote/Office/Hybrid), Warrington, Cheshire

Client: Veramed

Location: Warrington, Cheshire, UK

Job Category: Other

EU work permit required: Yes

Job Views: 4

Posted: 06.06.2025

Expiry Date: 21.07.2025

Job Description:

Veramed prides itself on providing high-quality statistics and programming consultancy, along with an industry-leading working environment supporting career growth.

We are seeking a Senior Statistical Programmer for a permanent position in the UK, offering home and/or office working, training, support, and a competitive package.

The role involves providing programming support across various projects, clients, and therapeutic areas.

Key Responsibilities

Technical

• Perform consistency reviews of clinical trial documents including protocols, SAPs, CRFs, CSRs
• Author and review study TFL shells and dataset standards
• Perform data checks and exploration using SAS
• Program and QC datasets and TFLs following specifications
• Review CDISC Validation reports
• Ensure standards compliance
• Familiarity with basic statistical techniques (e.g., t-test, ANOVA, regression, survival analysis)
• Review project management documents
• Maintain audit-ready study documents

General

• Lead and present in study team meetings
• Share knowledge within the team
• Ensure compliance with regulations and policies
• Build collaborative relationships
• Mentor junior team members
• Contribute to training and process improvements

Qualifications:

• BSc, MSc, or PhD in a numerical discipline or relevant industry experience
• At least 4 years of relevant experience

What To Expect

• A supportive and friendly work environment
• Opportunities for professional development
• Unique company culture focused on staff management and relationship building
• Role ownership and skill development opportunities