Sr. Scientist, Stat. Programming – Late-Stage (Non-Oncology) (Hybrid)

Merck is seeking a Sr. Scientist, Statistical Programming (Late‑Stage, Non‑Oncology) to join its BARDS team in North Wales, Montgomery County, US. This hybrid role supports late‑stage clinical programs and collaborates with cross‑functional scientists.

Key Responsibilities

• Develop, validate, and maintain SAS programs for analysis datasets, tables, figures, and listings for late‑stage non‑oncology trials.
• Partner with biostatisticians, data managers, and clinical teams to ensure statistical analysis plans are accurately implemented.
• Lead programming strategy, code review, and quality‑control processes to meet regulatory submission timelines.
• Mentor junior programmers and contribute to best‑practice standards within the department.
• Stay current with industry guidelines (CDISC, FDA, EMA) and integrate new tools and automation where appropriate.

Required Qualifications

• Ph.D. or Master’s in Biostatistics, Statistics, Computer Science, or related field.
• 5+ years of statistical programming experience in pharma, preferably on late‑stage, non‑oncology clinical trials.
• Advanced SAS programming skills (BASE, MACRO, SQL, GRID, and/or SAS/STAT).
• Strong knowledge of CDISC SDTM/ADaM standards and regulatory submission requirements.
• Excellent communication skills and ability to work effectively in a hybrid team environment.

What We Offer

• Competitive salary: $168,801.06 annually.
• Hybrid work model with flexible scheduling.
• Opportunities for professional growth within Merck’s global R&D network.
• Comprehensive benefits package.

How to Apply

Submit your resume and cover letter through Merck’s career portal. Include examples of SAS programs or projects relevant to late‑stage clinical development.

Frequently Asked Questions

What type of clinical programs will I work on?

You will support late‑stage, non‑oncology clinical trials, handling data analysis and regulatory submission deliverables.

Is remote work allowed?

The position is hybrid, offering a mix of on‑site work in North Wales and remote flexibility.

What experience is required with CDISC standards?

Candidates must have solid experience creating SDTM and ADaM datasets and applying CDISC guidelines in regulatory submissions.