Lead Statistical Programmer, Late-Stage Oncology

Merck & Co.; Rahway (NJ); On-site; USD 117,000 - 184,200; Full time

Job summary

Merck & Co. is seeking a statistically oriented programmer to support late-stage drug/vaccine development by creating SAS-based analysis datasets, tables, listings, and figures for global regulatory submissions.

The role involves leading projects, coordinating with a global programming team and ensuring high-quality deliverables throughout the product lifecycle. The candidate should have strong SAS programming experience in a clinical trial environment, familiarity with CDISC/ADaM standards, and

Qualifications

• BA/BS or MS with SAS programming experience in a clinical trial environment.
• Proven ability to design and maintain analysis datasets and reporting deliverables.

Responsibilities

• Develop and validate analysis deliverables (tables, listings, figures) across trials.
• Lead multi-project statistics programming activities and coordinate with global teams.

Skills

SAS programming

Interpersonal skills

Written/oral/presentation skills

Project leadership

Clinical trial knowledge

Statistical terminology

Data analysis & reporting

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

GenAI tools (e.g., Python, R)

CDISC/ADaM tool knowledge

SAS/MACRO

Job description

Merck & Co. is seeking a statistically oriented programmer to support late-stage drug/vaccine development by creating SAS-based analysis datasets, tables, listings, and figures for global regulatory submissions.

The role involves leading projects, coordinating with a global programming team and ensuring high-quality deliverables throughout the product lifecycle. The candidate should have strong SAS programming experience in a clinical trial environment, familiarity with CDISC/ADaM standards, and