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CDS Developer II

MSD
PolandRemotefull_timeVerifiedPosted 20 Aug 2026

About the role

Job Description

Position overview:

  • 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 in Biotechnology, Computer Science, healthcare‑related disciplines, or those with relevant skills and experience. 

Experience:

  • Minimum of 3 years experience working in 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:

Base SAS, Business Requirements Analysis, Clinical Data Management, Data Analysis, Data Quality Assurance, Data Quality Control, Data Reporting, Electronic Data Capture (EDC), Pharmacovigilance, PL/SQL (Programming Language), SQL Databases, Technical Requirements Gathering, User Acceptance Testing (UAT)

Preferred Skills:

Current Employees apply

Company

MSD

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