Senior Scientist, Late-Stage Statistical Programming Hybrid

MSD; Northern (KY); Hybrid; USD 117,000 - 184,000; Full time

Benefits offered by this job

Medical, dental, vision

401(k) retirement plan

Paid holidays and vacation

Job summary

Merck & Co., Inc. in Rahway, NJ (hybrid) seeks a Senior Scientist in Statistical Programming for late-stage drug/vaccine development.

You will develop and validate analysis datasets, tables, listings, and figures across trials and regulatory submissions, leading programming activities and collaborating with cross-functional teams. The role requires advanced SAS programming in a clinical trial setting, CDISC/ADaM expertise, and strong communication skills to drive high-quality deliverables within

Qualifications

• BA/BS or MS with SAS programming experience in a clinical trial environment
• Experience delivering analysis datasets, tables, listings, and figures per CDISC/ADaM standards
• Strong collaboration, leadership, and stakeholder management within multi-site teams, including outsourcing partners

Responsibilities

• Lead development and validation of analysis datasets, tables, listings, and figures for late-stage programs
• Coordinate global programming activities and manage project plans
• Serve as statistical programming point of contact across project lifecycle
• Ensure compliance with SOPs, SDLC, and regulatory submission requirements

Skills

CDISC ADaM

Clinical SAS Programming

Clinical Trials

Data Management

Data Modeling

Macro Programming

Numerical Analysis

Stakeholder Relationship Management

Waterfall Model

GenAI tools

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

R

Python

Job description

Merck & Co., Inc. in Rahway, NJ (hybrid) seeks a Senior Scientist in Statistical Programming for late-stage drug/vaccine development.

You will develop and validate analysis datasets, tables, listings, and figures across trials and regulatory submissions, leading programming activities and collaborating with cross-functional teams. The role requires advanced SAS programming in a clinical trial setting, CDISC/ADaM expertise, and strong communication skills to drive high-quality deliverables within