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

JR United Kingdom

Stockport

Hybrid

GBP 45,000 - 65,000

Full time

2 days ago
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Job summary

Join a leading consultancy as a Senior Statistical Programmer in Stockport, offering a hybrid work environment. You will provide programming support across diverse projects, ensuring quality and compliance. Enjoy a supportive atmosphere tailored for your professional growth, where your role is valued and you can thrive.

Benefits

Warm, friendly working environment
Supportive management policy
Career development opportunities

Qualifications

  • At least 4 years of relevant industry experience
  • Experience with clinical trial documents and data validations
  • Familiarity with statistical techniques like t-test and ANOVA

Responsibilities

  • Perform consistency review of clinical trial documents.
  • Lead internal and client study team meetings effectively.
  • Program and QC datasets and TFLs in SAS.

Skills

Statistical Techniques
Programming in SAS
Data Exploration

Education

BSc, MSc, or PhD in numerical discipline

Job description

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

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Client:

Veramed

Location:

stockport, United Kingdom

Job Category:

Other

-

EU work permit required:

Yes

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Job Views:

3

Posted:

06.06.2025

Expiry Date:

21.07.2025

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Job Description:

Veramed prides itself on two key areas: providing the highest quality statistics and programming consultancy for its clients, and giving its employees an industry leading working environment with support and training for career growth.

We have an exciting opportunity for Senior Statistical Programmers to join us on a permanent basis in the UK. We can offer home and/or office working, training and support and a competitive package.

The purpose of the role is to provide programming support to the statistics and programming

department across a range of projects, clients and therapeutic areas.

Key Responsibilities

Technical

• Perform consistency review of clinical trial documents including protocols, SAPs, CRFs, CSRs

• Author and review simple and complex study TFL shells

• Author and review simple and complex dataset standards

• Perform data checks and data exploration (e.g. using frequencies, histograms)

• Program and QC routine and ad hoc datasets and TFLs (in SAS) following specifications, applying good programming practice

• Complete and review CDISC Validation tool reports

• Ensure the appropriate standards are being applied and adhered to

• Familiarisation with simple statistical techniques (e.g. t-test, ANOVA, regression, standard survival)

• Review of project management related documents

• Maintain study master file documents and any other documents that are required to be audit ready

General

• Lead internal and client study team meetings effectively

• Present study updates internally and at client meetings

• Share scientific, technical and practical knowledge within the team and with colleagues

• Perform work in full compliance with applicable legislation, regulations, company policies, procedures, and training

• Build effective collaborative working relationships with internal and client team members

• Seek opportunities to develop innovative ideas, sharing when appropriate

• Line management or mentorship of more junior team members

• Contribution to development of internal training materials

• Contribution to internal process improvement initiatives

• BSc, MSc or PhD in numerical discipline (or relevant equivalent industry experience)

• At least 4 years of relevant industry experience

What To Expect

  • A warm, friendly working environment in which to thrive both personally and professionally.
  • A supportive, open-door management policy that will aid in your development and provide you with the tools to take your career to the next level.
  • A truly unique CRO that’s doing something different when it comes to managing staff, projects and building relationships in the industry.
  • The ability to own your role and develop your skills and experience.
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