Senior Statistical Programming Lead – Late-Stage Oncology

Merck; North Wales (Montgomery County); Hybrid; USD 117,000 - 184,000; Full time

Benefits offered by this job

Healthcare, dental and vision coverage

401(k) retirement plan

Paid holidays and vacation

Hybrid work arrangement

Job summary

Merck's BARDS division seeks a senior SAS programmer to lead statistical programming for late-stage drug/vaccine projects. You will design analysis datasets, tables, listings, and figures across trials and regulatory submissions, collaborating with statistics and other stakeholders to ensure timely, high-quality deliverables.

Responsibilities include coordinating a global programming team, maintaining project plans, and contributing to departmental initiatives.

Qualifications

• BA/BS plus at least 5 years SAS programming in a clinical trial environment.
• MS plus at least 3 years SAS programming in a clinical trial environment.
• Experience with CDISC ADaM standards.
• Strong interpersonal, written, and presentation skills.
• Ability to lead projects and collaborate with stakeholders.

Responsibilities

• Effective analysis and report programming using global standards and SOPs.
• Maintain and manage a project plan including resource forecasting.
• Coordinate activities of a global programming team including outsource staff.
• Membership on departmental strategic initiative teams.
• Serve as statistical programming point of contact through product lifecycle.

Skills

SAS programming

Clinical trial programming

Data analysis

Team leadership

SDLC knowledge

GenAI tools familiarity

Education

BA/BS in Computer Science, Statistics, Life Sciences, Engineering or related field

MS in Computer Science, Statistics, Life Sciences, Engineering or related field

Tools

SAS

CDISC ADaM

SAS/GRAPH

SAS MACRO

Microsoft Project

Job description

Merck's BARDS division seeks a senior SAS programmer to lead statistical programming for late-stage drug/vaccine projects. You will design analysis datasets, tables, listings, and figures across trials and regulatory submissions, collaborating with statistics and other stakeholders to ensure timely, high-quality deliverables.

Responsibilities include coordinating a global programming team, maintaining project plans, and contributing to departmental initiatives.