Senior Statistical Programmer - PK/PD & Regulatory Analytics (Hybrid)

Merck; North Wales (Montgomery County); Hybrid; USD 111,000 - 184,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

Merck & Co., Inc. seeks a Senior Statistical Programmer to deliver high-quality statistical programming for Early Development Statistics and PK/PD modeling.

You will gather requirements, transform data into analysis datasets, and develop tables, listings and figures per analysis plans for global stakeholders. Collaboration with statisticians and PK modelers is essential to improve efficiency and compliance.

Qualifications

• BA/BS or MS degree with SAS/R programming experience in a clinical trial environment.

Responsibilities

• Programmatically develop, validate and maintain complex datasets, tables, listings, and figures
• Provide technical consultation and analytical support to statisticians and PK modelers
• Prepare compliant programming code for regulatory submissions including analysis datasets, tables, listings, figures and documentation
• Ensure programmatic traceability from data source to analysis / modeling result
• Support development of programming standards for efficient production of deliverables

Skills

Clinical Database Programming

Clinical Trials

Collaborative Development

Data Modeling

Pharmaceutical Development

Project Leadership

Stakeholder Relationship Management

Statistical Programming

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

R

Python

NonMem

Job description

Merck & Co., Inc. seeks a Senior Statistical Programmer to deliver high-quality statistical programming for Early Development Statistics and PK/PD modeling.

You will gather requirements, transform data into analysis datasets, and develop tables, listings and figures per analysis plans for global stakeholders. Collaboration with statisticians and PK modelers is essential to improve efficiency and compliance.