ఉద్యోగ వివరణ

Role Overview

This opportunity is for a Statistical Programmer in the United States, posted on behalf of a partner organization that handles the application process and subsequent hiring steps. The role is central to clinical research programming, converting trial data into reliable statistical outputs used for regulatory filings, scientific publications, and evidence generation for medical products and devices.

You will build, validate, and maintain SAS programs that produce datasets, tables, listings, and figures in line with Statistical Analysis Plans. The work involves close coordination with statisticians, data management teams, clinical stakeholders, and outside vendors to ensure deliverables are accurate, traceable, consistent, and compliant. You will also help implement CDISC standards and support SDTM and ADaM dataset development in a regulated setting. This position calls for strong attention to detail, scientific rigor, and a focus on quality. In addition, you will contribute to process improvements and modernization efforts that increase programming efficiency and standardization across studies.

Key Accountabilities

Produce high-quality statistical programming deliverables for clinical trials, making sure outputs are accurate, compliant, and aligned with study and regulatory expectations.
Develop, test, and maintain SAS programs used to generate datasets, tables, listings, and figures according to SAPs and study specifications.
Build, document, and maintain SDTM and ADaM datasets while staying aligned with CDISC standards.
Work with Statistics, Data Management, Clinical, and vendor partners to clarify needs and resolve data or programming issues.
Ensure all programming outputs satisfy quality, timeline, and regulatory requirements, including traceability and audit readiness.
Assist with analysis specifications, SAP input, and presentation-ready outputs for clinical studies.
Carry out validation, quality control, and documentation of outputs to maintain consistency and accuracy.
Support workflow improvement, standardization, and modernization initiatives across programming processes.
Assist with ad hoc analyses and help align clinical data flow with statistical reporting needs.

Requirements

Bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Life Sciences, Data Science, or a closely related discipline.
Background in clinical trial programming, statistical programming, or other regulated data environments.
Strong SAS programming capability, including data steps, procedures, macros, and debugging.
Good working knowledge of CDISC standards, with emphasis on SDTM and ADaM.
Experience creating datasets, tables, listings, figures, and supporting clinical study reporting.
Solid understanding of the clinical trial data journey from collection through analysis and reporting.
Strong focus on detail and a consistent commitment to validated, high-quality work.
Ability to work independently while also collaborating effectively with cross-functional teams.
Clear communication skills and the ability to manage priorities and deadlines in a fast-moving environment.
Exposure to R, Python, SQL, Git, or SAS Enterprise Guide is considered an advantage.
Familiarity with controlled programming environments, SOPs, and audit-ready documentation is preferred.
Experience in medical devices or therapeutic area studies is a plus.

Benefits and Compensation

Annual base pay between $90,000 and $100,000, with eligibility for a discretionary annual bonus.
Medical, dental, and vision coverage.
Retirement savings support, including a 401(k) plan.
Employee stock purchase plan.
Paid vacation and personal time off.
Flexible scheduling to support work-life balance.
Training support, education assistance, and professional development opportunities.
Referral bonus program and employee recognition initiatives.
Service awards and career growth support.

Application and Hiring Process

The partner company manages applications and all next steps for this role. Applications are reviewed through an automated matching process designed to assess fit against the core job requirements, after which a shortlist is shared with the hiring employer. Final decisions, interviews, and assessments are handled by the employer’s internal hiring team.

Privacy and Data Processing

By submitting an application, candidates acknowledge that the recruiting platform may process personal data to assess candidacy and share relevant details with the hiring employer. This is based on legitimate interest and pre-contractual measures under applicable data protection laws, including GDPR. Applicants may exercise rights such as access, correction, deletion, and objection at any time.

AI tools may be used to support parts of the hiring workflow, such as resume review, response analysis, and identification of possible inconsistencies or verification signals in application materials. These tools assist recruiters but do not replace human judgment, and final hiring decisions remain with people. Additional information about data processing can be requested from the recruiting team.

Statistical Programmer