Lead Statistical Programming Scientist - Late-Stage Oncology

Merck; Rahway (NJ); Hybrid; USD 117,000 - 184,000; Full time

Benefits offered by this job

Medical, dental, vision benefits

401(k) plan with company match

Paid holidays and vacation

Job summary

Merck & Co., Rahway, NJ, seeks a seasoned SAS programmer to lead statistic programming activities for late-stage drug/vaccine programs. You will develop and execute analysis datasets, tables, listings, and figures, collaborating with cross-functional teams across the product lifecycle.

Qualifications include a BA/BS or MS with extensive SAS clinical trial experience, CDISC/ADaM knowledge, and strong stakeholder collaboration.

Qualifications

• BA/BS or MS with SAS programming experience in clinical trials.
• Experience developing analysis and reporting deliverables for R&D projects (data, analyses, tables, graphics, listings).
• Ability to lead projects and collaborate with stakeholders.

Responsibilities

• Effective analysis and report programming development and validation using SOPs and best practices.
• Maintain and manage a project plan including resource forecasting.
• Coordinate activities of a global programming team including outsourcing staff.
• Contribute to departmental strategic initiatives.

Skills

SAS programming

Clinical trial programming

SAS/MACRO

SAS/GRAPH

Data analysis planning

Team leadership

CDISC ADaM

Data management concepts

SQL / database basics

GenAI tooling (Python, R)

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

MS Project

Job description

Merck & Co., Rahway, NJ, seeks a seasoned SAS programmer to lead statistic programming activities for late-stage drug/vaccine programs. You will develop and execute analysis datasets, tables, listings, and figures, collaborating with cross-functional teams across the product lifecycle.

Qualifications include a BA/BS or MS with extensive SAS clinical trial experience, CDISC/ADaM knowledge, and strong stakeholder collaboration.