Entry-Level Statistical Programmer for Clinical Trials

Cytel

Hagåtña (GU)

On-site

USD 55,000 - 75,000

Full time

14 days+

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Job summary

Cytel is seeking a Recent Graduate Statistical Programmer embedded with a pharmaceutical client to develop and expand SAS-based programming skills across Phase I–IV trials. You will manipulate data, create analysis files, and generate tables, listings, and figures with a focus on safety and efficacy.

You will work in a globally distributed team, with training and support from Cytel, and contribute to submission-ready packages while growing in a dynamic life sciences environment.

Qualifications

  • Perform data manipulation, analysis, and reporting of clinical trial data using SAS programming.
  • Prepare and validate analysis datasets, tables, listings, and figures (TLFs) per submission needs.
  • Generate ad-hoc reports and contribute to submission packages.
  • Demonstrate understanding of efficacy analysis and data standards.

Responsibilities

  • Conduct data manipulation, analysis, and reporting for safety and efficacy in clinical trials using SAS.
  • Create and validate datasets, tables, listings and figures for submissions.
  • Generate ad-hoc reports and assist in preparing submission packages.
  • Apply knowledge of efficacy analysis and CDISC standards where applicable.
  • Collaborate with globally dispersed teams and meet deadlines.

Skills

SAS programming
Data manipulation
Reporting
Ad-hoc analysis
Team collaboration

Education

Undergraduate degree in Statistics/Epidemiology/Data Science
Graduate degree in Statistics/Data Science or related field

Tools

SAS

Job description

Cytel is seeking a Recent Graduate Statistical Programmer embedded with a pharmaceutical client to develop and expand SAS-based programming skills across Phase I–IV trials. You will manipulate data, create analysis files, and generate tables, listings, and figures with a focus on safety and efficacy.

You will work in a globally distributed team, with training and support from Cytel, and contribute to submission-ready packages while growing in a dynamic life sciences environment.

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