Senior Statistical Programming Lead Late-Stage Oncology

Merck; North Wales (Montgomery County); Hybrid; USD 142,000 - 224,000; Full time

Benefits offered by this job

Medical, Dental, Vision

401(k) and retirement benefits

Paid holidays and vacation

Job summary

Merck & Co., Inc. in the United States seeks a senior Statistical Programmer to lead programming activities for late-stage drug/vaccine projects. You will develop analysis datasets, tables, listings and figures, coordinating with global teams to ensure timely, regulatory-ready deliverables.

The role requires extensive SAS proficiency, CDISC/ADaM experience, and the ability to collaborate with stakeholders across R&D. A hybrid work arrangement is available with a strong benefits package.

Qualifications

• BA/BS or higher in a quantitative field with SAS programming in clinical trials.
• Experience with data steps, procedures, and SAS/GRAPH in trials.
• CDISC and ADaM standards familiarity is required.
• US and/or global regulatory submission experience is preferred.

Responsibilities

• Lead statistical programming activities across late-stage drug/vaccine projects.
• Develop and validate analysis datasets, tables, listings, figures per SOPs.
• Coordinate global programming teams and outsource staff for deliverables.
• Serve as primary programming contact across the product lifecycle.

Skills

SAS

SAS Macro

SAS GRAPH

Clinical trial programming

Data analysis planning

Stakeholder collaboration

Regulatory submissions

Process compliance

Education

BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field

MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field

Tools

SAS

SAS Macro

SAS Graph

Job description

Merck & Co., Inc. in the United States seeks a senior Statistical Programmer to lead programming activities for late-stage drug/vaccine projects. You will develop analysis datasets, tables, listings and figures, coordinating with global teams to ensure timely, regulatory-ready deliverables.

The role requires extensive SAS proficiency, CDISC/ADaM experience, and the ability to collaborate with stakeholders across R&D. A hybrid work arrangement is available with a strong benefits package.