Senior Statistical Programmer

Senior Statistical Programmer

Full-Time 50000 - 70000 £ / year (est.) Home office (partial)
Everest Clinical Research Services Inc

At a Glance

  • Tasks: Design and validate data models for clinical trials using SAS programming.
  • Company: Everest Clinical Research, a leader in clinical research services.
  • Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
  • Other info: Join a diverse team committed to equal opportunity and continuous improvement.
  • Why this job: Make a real impact in healthcare by improving clinical trial processes.
  • Qualifications: Master’s in Mathematics or Statistics with 5+ years of experience.

The predicted salary is between 50000 - 70000 £ per year.

Everest Clinical Research is a full-service contract research organization providing expertise-based clinical research services to the pharmaceutical, biotechnology, and medical device industries.

Key Accountabilities

  • Design and specify study data tabulation models and analysis data models for clinical trials or for the integration of clinical trial data from multiple trials (e.g. ISS and ISE datasets). These designs and specifications are completed in accordance with common industry standards and conventions, statistical requirements and specifications, and/or clinical trial sponsor’s requirements.
  • Generate complete and efficient analysis data models following approved dataset designs or specifications. Perform independent validation of datasets created by other programmers or statisticians.
  • Develop SAS programming codes and generate complete and accurate statistical output reports of trial data in well-defined formats.
  • Develop SAS programming codes to independently validate statistical output reports of trial data generated by other programmers or statisticians.
  • Develop and test SAS codes for clinical trial database logical checks and reports for ongoing data review.
  • Document data and programming information in accordance with corporate SOPs and guidelines.
  • Archive clinical trial data (study data tabulation models and analysis data models) and programming information in accordance with corporate archival SOPs and guidelines.
  • Develop and provide expertise in other programming and system administration areas when required.
  • Provide technical guidance and support to less experienced Statistical Programmers.
  • Contribute to the continuous improvement of the statistical programming processes and procedures.
  • Contribute to the establishment of therapeutic area programming standards/conventions/procedures within assigned therapeutic areas as a lead programmer.
  • Contribute to the establishment of client specific programming standards/conventions/procedures for assigned clients when required.

Qualifications and Experience

  • Master’s degree in Mathematics or Statistics with at least five years of experience.

Everest is committed to upholding the principles of dignity, independence, integration, and equal opportunity. We welcome and encourage applications from people with disabilities, and upon request we will provide accommodations for candidates participating in any part of our recruitment and selection process.

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Senior Statistical Programmer employer: Everest Clinical Research Services Inc

Everest Clinical Research is an exceptional employer, offering a collaborative and inclusive work culture that prioritises employee growth and development. With a commitment to innovation in clinical research, employees benefit from continuous learning opportunities and the chance to contribute to meaningful projects that impact healthcare. Located in a vibrant area, the company fosters a supportive environment where diverse talents are valued, making it an ideal place for professionals seeking a rewarding career in statistical programming.

Everest Clinical Research Services Inc

Contact Details:

Everest Clinical Research Services Inc Recruitment Team

We think you need these skills to ace Senior Statistical Programmer

SAS Programming
Statistical Analysis
Data Tabulation Models
Clinical Trial Data Integration
Dataset Validation
Statistical Output Reporting
Logical Checks for Clinical Trials