Principal Statistical Programmer Lead - Remote

Parexel International; Remote; USD 90,000 - 130,000; Full time

Job summary

A leading clinical research organization is seeking a Principal Statistical Programmer to lead global studies and provide strategic programming leadership in the analysis of clinical trial data. This remote full-time position requires expertise in SAS programming, strong analytical skills, and the ability to drive project management activities effectively. Candidates should have a Bachelor’s degree in a relevant discipline and proven experience in a statistical programming environment. Join us to make an impactful contribution to global clinical trials.

Qualifications

• Proven experience leading teams in a statistical programming environment.
• Strong command of written and spoken English.
• Experience supporting clinical trials across therapeutic areas is highly desirable.

Responsibilities

• Serve as Statistical Programming Lead on assigned projects.
• Lead programming teams to deliver high-quality outputs.
• Drive project planning activities, including resource allocation.
• Develop and QC SDTM and ADaM datasets and analysis outputs.
• Mentor team members and provide project-specific training.

Skills

Advanced SAS programming expertise

Strong analytical and problem-solving skills

Deep understanding of clinical programming standards

Strong project management capabilities

Excellent organizational skills

Strong business acumen

Excellent communication skills

Education

Bachelor’s degree in Statistics or related discipline

Tools

SAS

Job description

A leading clinical research organization is seeking a Principal Statistical Programmer to lead global studies and provide strategic programming leadership in the analysis of clinical trial data. This remote full-time position requires expertise in SAS programming, strong analytical skills, and the ability to drive project management activities effectively. Candidates should have a Bachelor’s degree in a relevant discipline and proven experience in a statistical programming environment. Join us to make an impactful contribution to global clinical trials.