About the Role

Responsibilities

Activities may include, but are not limited to:

• Build, integrate, and maintain clinical databases and study systems, including transformations, edit checks, reporting, and user testing, while supporting governance of cross‑study programming environments
• Design, develop, test, and maintain clinical technology systems (EDC, RTSM, eCOA/ePRO) using programming and automation frameworks
• Implement and validate complex data logic such as edit checks, derivations, and dynamic rules
• Propose and develop tools to streamline design, build, and validation workflows
• Apply data literacy to convert collected data into actionable insights
• Develop advanced reporting solutions, including dashboards and visual analytics, using enterprise platforms
• Configure, test, and validate data sources for integrations and transformations across systems
• Collaborate with stakeholders to translate business needs into technical and system requirements
• Troubleshoot routine data ingestion and consumption issues, escalating non‑standard problems appropriately
• Develop robust data models, semantic layers, and curated datasets while monitoring pipelines and enforcing quality checks
• Validate system functionality and ensure adherence to SOPs, regulations, and compliance standards
• Identify process gaps and contribute to continuous improvement initiatives
• Maintain audit‑ready documentation for changes, incidents, and system updates
• Mentor junior colleagues and contribute to onboarding and knowledge sharing
• Support release management activities, including change control and risk assessment
• Lead UAT activities, translate requirements into technical specifications, and refine reporting standards
• Communicate data and technical findings clearly and partner across teams to enable coordinated, high‑quality delivery

Education

• B.A. or B.S. degree (or current student), preferably in Biotechnology (primary focus)
• Candidates from Computer Science, healthcare‑related disciplines, or those with relevant skills and experience may also be considered

Experience

• Minimum of 3 years experience working in clinical data programming, data engineering, or related data-management/clinical operations functions

Technical Skills

• Proficiency in multiple programming languages (SQL, Python, SAS, R) for implementing data collectors, integrations, transformations, and reporting
• Skilled with key data‑management tools and platforms, with the ability to adopt new technologies with guidance
• Able to execute technical tasks independently on straightforward work, seeking moderate guidance for non‑standard activities
• Experienced in scripting and automating data ingestion, cleaning, and reporting processes
• Strong understanding of clinical data flow across the study lifecycle (collection, processing, review, reconciliation, reporting)
• Familiarity with clinical and regulatory data standards, clinical operations, and typical clinical trial data structures
• Knowledge of SDLC and validation practices, including change control, release checklists, and traceability
• Understanding of GCP, data integrity, audit‑ready documentation, and UAT/sign‑off procedures
• Experience optimizing reporting performance and applying data quality controls
• Ability to link business needs to technical deliverables using standard procedures
• English proficiency of at least B2+ level

Soft Skills

• Prioritizes tasks, meets deadlines, and maintains clear, organized documentation
• Communicates effectively with technical and business partners, adapting style to the audience
• Works independently with minimal guidance, using data to triage issues and proactively flag risks with recommended options
• Collaborates well across functions, facilitates small working sessions, and follows through on action items
• Builds strong cross‑functional relationships and remains open to feedback

Required Skills

Adaptability, Clinical Data Cleaning, Clinical Data Management, Clinical Informatics, Clinical Medicine, Clinical Trial Documentation, Clinical Trials, Computer Science, Customer-Focused, Data Analysis, Database Development, Data Engineering, Data Literacy, Data Processing, Data Quality Assurance, Data Review, Data Validation, Data Visualization, Electronic Data Capture (EDC), Learning Agility, Pharmacovigilance, PL/SQL (Programming Language), Release Management, Standards Compliance

Preferred Skills

Employment Details

• Employee Status: Regular
• Relocation: No relocation
• VISA Sponsorship: No
• Travel Requirements: No Travel Required
• Flexible Work Arrangements: Hybrid
• Shift: Not Indicated
• Valid Driving License: No
• Hazardous Material(s): No
• Job Posting End Date: 02/28/2026

A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

Additional Information

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Current Contingent Workers apply HERE

Search Firm Representatives

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About Merck

Our company is a global health care leader with a diversified portfolio of prescription medicines, vaccines and animal health products. The difference between potential and achievement lies in the spark that fuels innovation and inventiveness; this is the space where we have codified our legacy for over a century. Our success is backed by ethical integrity, forward momentum, and an inspiring mission to achieve new milestones in global healthcare.