Embedded Statistical Programmer I: SAS & Clinical Trials

Cytel; Santa Fe (NM); On-site; USD 65,000 - 85,000; Full time

Job summary

Cytel is seeking a Recent Graduate Statistical Programmer embedded with one of our pharmaceutical clients. You will perform data manipulation, analysis and reporting of trial data using SAS, and prepare submission-ready outputs under supervision.

You will develop datasets and TLFs, generate ad-hoc reports, and contribute to efficacy analyses while collaborating with a global team. This role emphasizes learning and ownership in a supportive environment.

Qualifications

• Academic training in Statistics, Epidemiology or Data Science.
• Academic training in Computer Science, Mathematics or Computational Science.
• Foundational data manipulation, analysis and reporting skills.
• Familiarity with drug development life cycle and eagerness to learn.

Responsibilities

• Perform data manipulation, analysis and reporting of clinical trial data (safety and efficacy) using SAS.
• Create and validate datasets/analysis files, tables, listings and figures (TLFs).
• Generate ad-hoc reports and prepare submission packages.
• Apply understanding/experience with efficacy analysis.
• Collaborate in a globally dispersed team with cross-cultural partners.
• Maintain quality output and meet timelines and learn company processes.

Skills

SAS programming

Data manipulation

Clinical data analysis

English communication

Education

Undergraduate 4+ years + 2 graduate years

Statistics/Epidemiology/Data Science

Computer Science/Math/Computational Science

Tools

SAS

Job description

Cytel is seeking a Recent Graduate Statistical Programmer embedded with one of our pharmaceutical clients. You will perform data manipulation, analysis and reporting of trial data using SAS, and prepare submission-ready outputs under supervision.

You will develop datasets and TLFs, generate ad-hoc reports, and contribute to efficacy analyses while collaborating with a global team. This role emphasizes learning and ownership in a supportive environment.