Senior Statistical Programmer - Late-Stage Oncology (Hybrid)

Merck & Co.

North Wales (Montgomery County)

Hybrid

USD 142,000 - 224,000

Full time

3 days ago
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Benefits offered by this job

Annual bonus
Long-term incentive
Comprehensive benefits

Job summary

Merck & Co. in the BARDS department seeks a senior statistical programming lead to manage SAS programming activities for late-stage drug/vaccine projects. You will develop and execute analysis datasets, tables, listings, and figures across trials and global submissions.

You will design and maintain statistical datasets, collaborate with statistics and other stakeholders, and ensure high-quality deliverables within regulatory timelines. Remote/hybrid options may apply.

Qualifications

  • Strong SAS programming experience in clinical trials and regulatory submissions.
  • Excellent interpersonal and communication skills for cross-functional collaboration.
  • Ability to lead large, complex projects and balance competing priorities.

Responsibilities

  • Effective analysis and report programming development and validation utilizing global and TA standards.
  • Maintain and manage a project plan including resource forecasting.
  • Coordinate the activities of a global programming team that includes outsource provider staff.
  • Membership on departmental strategic initiative teams.

Skills

SAS programming
Clinical trial programming
Data analysis & reporting
Project management
SAS MACRO & SAS GRAPH
US regulatory submissions
Cross-functional collaboration

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
SAS/GRAPH
SAS MACRO

Job description

Merck & Co. in the BARDS department seeks a senior statistical programming lead to manage SAS programming activities for late-stage drug/vaccine projects. You will develop and execute analysis datasets, tables, listings, and figures across trials and global submissions.

You will design and maintain statistical datasets, collaborate with statistics and other stakeholders, and ensure high-quality deliverables within regulatory timelines. Remote/hybrid options may apply.

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