Global Program Lead, Clinical Data Management

Merck; North Wales (Montgomery County); On-site; USD 180,000 - 230,000; Full time

Job summary

Merck is seeking a Director, Program Lead, Clinical Data Management to steer program-level data strategy across multiple therapeutic areas. You will oversee risk-based planning, data standards, and cross-program consistency to ensure inspection readiness and high-quality delivery.

You will collaborate with senior stakeholders across Clinical, Biostatistics, IT, and external partners to drive efficiency, scale, and continuous improvement in data management practices.

Qualifications

• Deep SME in clinical data management and trial operations.
• Experience leading end-to-end data management across trials with data quality focus.
• Strong knowledge of regulatory requirements and RBQM principles.
• Proven ability to manage multi-program delivery with cross-functional teams.

Responsibilities

• Lead program-level data management strategy across modalities and trials.
• Govern data standards, change control, and regulatory readiness.
• Oversee risk-based planning, timelines, and inter-study dependencies.
• Mentor teams and drive continuous improvement and dashboards.

Skills

Clinical Data Management

EDC (Electronic Data Capture)

data standards

data integration

risk management

leadership

regulatory compliance

quantitative analytics

Education

Bachelor's degree in Nursing, Pharmacy, Life sciences, Allied Health, Data / IT or Medical Technology

Advanced Degree (Masters/PhD) in relevant field

Tools

EDC

eCOA

Define-XML

data visualization tools

Job description

Merck is seeking a Director, Program Lead, Clinical Data Management to steer program-level data strategy across multiple therapeutic areas. You will oversee risk-based planning, data standards, and cross-program consistency to ensure inspection readiness and high-quality delivery.

You will collaborate with senior stakeholders across Clinical, Biostatistics, IT, and external partners to drive efficiency, scale, and continuous improvement in data management practices.