Early-Stage Oncology Statistical Programmer (SAS/R)

Merck; North Wales (Montgomery County); On-site; USD 90,000 - 130,000; Full time

Job summary

Merck, BARDS (Biostatistics and Research Decision Sciences), is seeking a Statistical Programmer to develop and validate datasets, tables, listings and figures for early-stage oncology projects. You will ensure quality and compliance with SOPs, and collaborate with project teams and outsource staff on submissions.

The role requires SAS programming in a clinical trial environment plus strong communication, with R programming preferred and knowledge of CDISC standards.

Qualifications

• BA/BS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field plus a minimum of 2 years SAS programming experience in a clinical trial environment
• MS in Computer Science, Statistics, Applied Mathematics, Life Sciences, Engineering or related field

Responsibilities

• Programmatically develop, validate and maintain efficacy and safety datasets, tables, listings, and figures at a protocol level
• Assure deliverable quality and compliance with departmental SOPs and good programming practices
• Collaborate effectively with project team members including outsource provider staff

Skills

SAS Programming

Interpersonal Communication

Project Leadership

Numerical Analysis

Data Management

Oncology Knowledge

Team Collaboration

R Programming (preferred)

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 System

SAS MACRO

SAS GRAPH

CDISC SDTM

CDISC ADaM

Unix Operating System

Job description

Merck, BARDS (Biostatistics and Research Decision Sciences), is seeking a Statistical Programmer to develop and validate datasets, tables, listings and figures for early-stage oncology projects. You will ensure quality and compliance with SOPs, and collaborate with project teams and outsource staff on submissions.

The role requires SAS programming in a clinical trial environment plus strong communication, with R programming preferred and knowledge of CDISC standards.