Early-Stage Oncology Statistical Programmer

Merck; Rahway (NJ); Hybrid; USD 96,000 - 151,000; Full time

Benefits offered by this job

Hybrid work model

Job summary

Merck & Co., Inc., Rahway, NJ (USA) is seeking a Statistical Programmer in BARDS to support early-stage oncology programs with SAS, CDISC ADaM standards, and data management.

You will develop, validate, and deliver analysis datasets, tables, listings, figures, and reports, collaborate with outsource partners, and ensure adherence to SOPs and project timelines; hybrid work arrangement.

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
• R programming is highly preferred

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

CDISC SDTM/ADaM

Oncology clinical development

Interpersonal communication

Project collaboration

Data analysis

SAS/GRAPH

SAS MACRO

Unix OS

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

Base SAS

SAS Procedures

SAS System

R Programming

Job description

Merck & Co., Inc., Rahway, NJ (USA) is seeking a Statistical Programmer in BARDS to support early-stage oncology programs with SAS, CDISC ADaM standards, and data management.

You will develop, validate, and deliver analysis datasets, tables, listings, figures, and reports, collaborate with outsource partners, and ensure adherence to SOPs and project timelines; hybrid work arrangement.