Lead Scientist, Statistical Programming- Oncology (Hybrid)

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

Benefits offered by this job

Medical Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Holidays

Paid Vacation

Sick Leave

Job summary

Merck & Co., Inc. in Rahway, NJ: Hybrid Senior Scientist, Statistical Programming for Late-Stage Oncology. Lead analysis deliverables for trials and regulatory submissions, coordinating global programming teams to ensure timely, high-quality outputs.

The role requires strong SAS/ADaM/CDISC expertise, data management, and project leadership within a regulated R&D setting, with collaboration across statistics, safety and data management functions.

Qualifications

• CDISC ADaM, CDISC standards and regulatory submissions experience.
• Experience in data management, data modeling and numerical analysis.
• SAS programming in a clinical trial environment; SDLC and waterfall model familiarity.

Responsibilities

• Develop and validate analysis datasets, tables, listings and figures for trials.
• Lead and coordinate a global programming team and outsource staff.
• Ensure deliverables meet regulatory requirements and SOPs.

Skills

CDISC/ADaM

SAS Programming

Data Management

FDA Submissions

Project Management

Statistical Analysis

Stakeholder Mgmt

SDLC

Data Modeling

Waterfall Model

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

Microsoft Project

Python

R

R Shiny

Job description

Merck & Co., Inc. in Rahway, NJ: Hybrid Senior Scientist, Statistical Programming for Late-Stage Oncology. Lead analysis deliverables for trials and regulatory submissions, coordinating global programming teams to ensure timely, high-quality outputs.

The role requires strong SAS/ADaM/CDISC expertise, data management, and project leadership within a regulated R&D setting, with collaboration across statistics, safety and data management functions.