Data Manager, Informatics & Analytics for Regulatory Submissions

Merck; West Point (PA); On-site; USD 142,000 - 224,000; Full time

Benefits offered by this job

401(k)

Medical, dental & vision coverage

Job summary

Merck in the United States is seeking a Data Manager to deliver compliant analytical data and reporting across the pharmaceutical development lifecycle, interfacing with Analytical Development, Regulatory CMC, Quality and Digital teams to enable self-service reporting from enterprise data platforms.

The role emphasizes automation, dashboards (Spotfire, Power BI), data standards, data governance, and collaboration with scientists and regulatory teams to accelerate submissions and decision-making.

Qualifications

• Bachelor’s with 10+ years in pharmaceutical data management or related field.
• Experience in GxP-regulated environments and data integrity.
• Ability to translate business needs into data analytics and digital solutions.

Responsibilities

• Deliver compliant, submission-ready analytical data and reports.
• Design automated data workflows to improve efficiency.
• Develop dashboards using Spotfire, Power BI, and enterprise data platforms.
• Collaborate with scientists and regulatory teams to translate needs into data solutions.
• Drive modernization of laboratory data management processes.
• Support system enhancements, testing, and governance of informatics platforms.

Skills

Data management

Data visualization

Spotfire

Power BI

SQL

SAS

LIMS

Process automation

Education

Bachelor's degree in Chemistry

Master's degree in related field

Ph.D. in a relevant discipline

Tools

LIMS

SQL

SAS

Job description

Merck in the United States is seeking a Data Manager to deliver compliant analytical data and reporting across the pharmaceutical development lifecycle, interfacing with Analytical Development, Regulatory CMC, Quality and Digital teams to enable self-service reporting from enterprise data platforms.

The role emphasizes automation, dashboards (Spotfire, Power BI), data standards, data governance, and collaboration with scientists and regulatory teams to accelerate submissions and decision-making.