Early-Stage Oncology Statistical Programmer (SAS/R)

MSD; North Wales (Montgomery County); Hybrid; USD 96,000 - 151,000; Full time

Benefits offered by this job

Medical insurance

Dental insurance

Vision insurance

401(k) retirement

Paid holidays

Vacation

Sick days

Hybrid work arrangements

Job summary

Merck's BARDS team seeks a Statistical Programmer to support early oncology clinical development. You will develop and validate efficacy and safety datasets, tables, listings and figures for protocol-level deliverables under senior guidance.

Collaborating with project teams and outsource staff, you ensure quality and SOP compliance while documenting user requirements for programming deliverables. A BA/BS plus 2+ years SAS in clinical trials is required; an MS is preferred.

Qualifications

• BA/BS plus a minimum of 2 years SAS programming in a clinical trial environment.
• MS in related field preferred.
• Knowledge of CDISC SDTM/ADaM standards preferred.

Responsibilities

• Develop, validate, and maintain efficacy and safety datasets, tables, listings, and figures at protocol level.
• Ensure deliverables meet SOPs and GMP-like practices.
• Collaborate with outsource partner staff on reporting components.

Skills

SAS programming

SAS MACRO

SAS/GRAPH

R programming

CDISC SDTM/ADaM

Clinical trials

Data management

Unix basics

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

Job description

Merck's BARDS team seeks a Statistical Programmer to support early oncology clinical development. You will develop and validate efficacy and safety datasets, tables, listings and figures for protocol-level deliverables under senior guidance.

Collaborating with project teams and outsource staff, you ensure quality and SOP compliance while documenting user requirements for programming deliverables. A BA/BS plus 2+ years SAS in clinical trials is required; an MS is preferred.