Head of Study Data Services & Analytics

Merck

Rahway (NJ)

Hybride

USD 142 000 - 224 000

Plein temps

Il y a 2 jours
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Avantages offerts par ce poste

Medical, dental, vision
401(k) retirement
Paid holidays
Bonus potential

Résumé du poste

Merck is seeking an Associate Director of Study Data Services to lead a programming and reporting team, set goals, coach performance, and partner with leadership. The role emphasizes hands-on technical review, SOP enforcement, workload management, and continuous improvement through scalable data solutions.

The ideal candidate will drive best practices in code review, automation, and data modeling while ensuring compliance with regulatory standards.

Qualifications

  • Experience leading clinical programming teams and delivering complex data solutions.
  • Strong knowledge of data standards (MedDRA, WHODrug) and regulatory expectations.
  • Proven ability to design, implement, and maintain scalable data pipelines.

Responsabilités

  • Lead design and deployment of clinical technology system solutions (EDC, RTSM, eCOA/ePRO).
  • Provide technical oversight for programming, reporting, and data integration across portfolios.
  • Develop reusable components and automate validation to improve reporting accuracy.
  • Translate strategy into priorities, roadmaps, and execution plans across global teams.
  • Coach and mentor staff to build capability and maintain a culture of quality and collaboration.

Connaissances

SQL
Python
SAS
R

Formation

Bachelor's degree in a related field
Advanced degree (MS/PhD) in a relevant field

Outils

EDC systems
RTSM
eCOA/ePRO
Data visualization tools

Description du poste

Merck is seeking an Associate Director of Study Data Services to lead a programming and reporting team, set goals, coach performance, and partner with leadership. The role emphasizes hands-on technical review, SOP enforcement, workload management, and continuous improvement through scalable data solutions.

The ideal candidate will drive best practices in code review, automation, and data modeling while ensuring compliance with regulatory standards.

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