Clinical Data Engineering Specialist

Job Description

Activities may include, but are not limited to:

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• 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 rules, 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 database configuring, data engineering or data management operations, or 1+ years of specific experience in clinical database programming and upstream/downstream clinical data model configuring

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 C1 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, Customer- Focused, Data Analysis, Database Development, Data Processing, Data Quality Assurance, Data Review, Data Validation, Data Visualization, Electronic Data Capture (EDC), Learning Agility, Pharmacovigilance, PL/SQL (Programming Language)

Preferred Skills:

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Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Hybrid

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

06/12/2026

***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. **