Senior Statistical Programming Lead – Remote, Rare Disease

Travere; United States; Remote; USD 150,000 - 190,000; Full time

Job summary

Travere Therapeutics in San Diego (remote) is seeking a Senior Manager, Statistical Programming to lead programming activities across programs within the Biometrics team. You will plan and coordinate, provide hands-on programming, validate deliverables, and oversee external vendors to ensure quality and timeliness.

The role requires a Bachelor's in Statistics or related field, 7+ years in clinical research, strong SAS/SDTM/ADaM experience, and familiarity with CDISC and regulatory guidelines.

Qualifications

• Bachelor's degree in Statistics, Computer Science, Mathematics, or related field; Master's preferred.
• 7+ years' experience in clinical research with SAS programming for phase I–IV trials.
• Lead programmer experience required; familiarity with CDISC standards.

Responsibilities

• Provide programming strategy and maintain SOPs, work instructions, and standards.
• Develop tools to improve efficiency in analysis and reporting for clinical projects.
• Lead projects, oversee contractors, ensure quality and timely deliverables.
• Program analysis datasets, tables, listings, and figures for submissions.
• Review/Develop CDISC specs and Define.xml; generate SDTM/ADaM datasets.
• Provide programming support for study reports and CRO oversight.

Skills

SAS programming

Project leadership

CDISC SDTM/ADaM

UNIX

R knowledge

SQL

MACRO

MS Office

Data management

Education

Bachelor's degree in Statistics

Master's degree preferred

Tools

SAS

R

UNIX

Windows

MS Office

Job description

Travere Therapeutics in San Diego (remote) is seeking a Senior Manager, Statistical Programming to lead programming activities across programs within the Biometrics team. You will plan and coordinate, provide hands-on programming, validate deliverables, and oversee external vendors to ensure quality and timeliness.

The role requires a Bachelor's in Statistics or related field, 7+ years in clinical research, strong SAS/SDTM/ADaM experience, and familiarity with CDISC and regulatory guidelines.