Jr. Clinical Data Engineer

Job Description

Activities may include, but are not limited to:

• Build, integrate, and maintain clinical databases and operational systems, including study setup, transformations, integrations, edit checks, reporting, and user testing.

• Support the design, development, testing, and maintenance of clinical technology solutions (e.g., EDC, RTSM, eCOA/ePRO) using programming frameworks and automation tools.
• Implement and validate data logic such as edit checks, derivations, and dynamic rules.
• Contribute to developing and validating tools that streamline design, build, and validation workflows.
• Use data literacy skills to transform collected data into meaningful insights.
• Help develop and maintain reporting solutions (dashboards, listings, visualizations).
• Assist in configuring, testing, and validating data sources for integrations and transformations.
• Perform routine troubleshooting of data ingestion/consumption issues and escalate non-standard issues as needed.
• Develop data models and queries; optimize extracts, views, and performance.
• Validate system functionality and maintain compliant documentation to support audits and inspection readiness.
• Participate in process improvements, meetings, and special projects.
• Execute unit and integration testing; document test cases and defects; resolve issues; prepare releases under change control.
• Collaborate with GDMS and cross-functional partners to clarify requirements, support UAT, and ensure 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

• 1+ years experience in database configuring, data engineering or data management operations

Technical Skills

• Basic proficiency in at least one programming language (Python, SQL, SAS, or R).
• Familiarity with data collection, integration, transformation, reporting, and visualization.
• Knowledge of scripting and automation tools for data ingestion, cleaning, and report generation.
• Ability to create simple dashboards and reports using approved tools, including queries and basic data models.
• Foundational testing skills for reporting assets (unit/integration), including test case creation, defect logging, and evidence preparation.
• Basic understanding of SDLC and validation practices such as change control and traceability.
• Working knowledge of GCP, data integrity principles, audit-ready documentation, and established UAT/sign-off procedures.
• Exposure to performance optimization techniques (query tuning, filters, parameters) and data quality controls.
• Ability to translate business needs into technical deliverables.
• English proficiency of at least C1 level.

Soft Skills

• Prioritizes tasks, meets deadlines, and maintains clear, well-organized documentation.
• Communicates effectively with timely updates, clarifying questions, and concise notes.
• Builds strong cross-functional relationships and is open to feedback.
• Uses structured thinking to solve straightforward issues and escalates complex ones appropriately.
• Demonstrates eagerness to learn new processes and technologies.
• Shows strong attention to detail and adheres to SOPs and data privacy/compliance standards.

Required Skills:

Preferred Skills:

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Relocation:

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