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# Associate Specialist, Clinical Data Management - Hybrid

- **Company:** Merck & Co., Inc.
- **Location:** Rahway, NJ, United States
- **Salary:** $71,900.0 - $113,200.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Microsoft Windows, Artificial Intelligence, Clinical Data Management, Data Cleansing, Document-Oriented Databases, Python (Programming Language), Office Suite, Oracle (Applications), Systems Development Life Cycle, Power BI, SAS (Software), PL-SQL, SQL Databases, System Testing, Web Applications, Data Processing, Information Technology, Data Management, Veeva, GXP, Databricks
- **Published:** October 29, 2026
- **Apply:** https://www.careercircle.com/jobs/all/all/usa/nj/rahway/7a480772-6bc6-4525-b2a9-2af1ea5beebf

## About the Role

Data Entry
Mentorship
Innovation
Compassion
Databricks
Mathematics
Multitasking
Communication
SAS (Software)
Data Cleansing
Data Reporting
Drug Discovery
Pharmaceuticals
Clinical Trials
FDA Regulations
Problem Solving
Data Management
Change Requests
Data Processing
Computer Science
Telephone Skills
Clinical Research
Microsoft Windows
Incident Reporting
Clinical Monitoring
Contingent Workforce
Lifecycle Management
Jersey (Java Framework)
Clinical Data Management
SQL (Programming Language)
Document-Oriented Databases
Python (Programming Language)
Good Clinical Practices (GCP)
Structured Query Language Procedural Language (SQL PL), * B.A. or B.S. degree, preferably in mathematics, science, a healthcare-related discipline, or computer science; or relevant Pharma skills and experience., * Expected to have a good technical proficiency in a Clinical Data Management/Reporting Systems like PowerBI or SQL/PL SQL or Databricks or Python or SAS, etc. along with AI related tools.

 * Solid knowledge of MS Windows/Office software and exposure to web-based applications.
 * Solid knowledge of System Development Lifecycle Management / system validation knowledge
 * Ability to establish and maintain good working relationships with different functional areas.
 * Strong sense of urgency and customer focus.
 * Possesses excellent communication skills and interacts effectively with Study Team along with Strong organizational and problem-solving skills.
 * Desire and ability to learn new processes and technologies
 * Ability to multi-task, work independently, and good communication skills
 * Understanding of drug discovery process, FDA regulations, GxP guidelines, ICH
 * Must currently hold a B.A. or B.S. degree, preferably in mathematics, science, a healthcare-related discipline, or computer science OR receive an B.A. or B.S. degree, preferably in mathematics, science, a healthcare-related discipline, or computer science no later than spring 2027, Clinical Data Management, Clinical Programs, Clinical Research, Data Entry, Data Management, Data Processing, Data Reporting, Data Review, Good Clinical Practice (GCP), Protocol Management

## Description

Primary activities:

 * Assumes the responsibilities for all clinical programming (including reporting and analytics) deliverables including Oracle, Veeva platforms along with the external data captured in support of the clinical studies.
 * Coordinates and participates in the following activities:
 * Design, build, maintain, test, and document data review based on written specifications established by Global Clinical Data Management, Clinical Research and Global Safety. Review the technical feasibility of study team proposed programming/reporting and technically implements them. Work effectively among team to communicate issues and ideas to improve the business along with understanding of Protocol.
 * Support the development & reporting for data cleaning, medical review, clinical monitoring, and safety reports for quality and timely availability in support of our customer needs.
 * Perform ongoing support for In-Life Reports. Change Requests and Incident Reports are fully documented, signed off, tracked, and reported to upper management.
 * Participate in extra activities including, but not limited to, study improvement task forces, automations, initiatives, testing of new systems, and ongoing training and mentoring.