Clinical Data Management Systems Engineer – IT R&D

Clinical Data Management Systems Engineer – IT R&D

Requirements

• 5+ years of experience as an information technology professional or a closely related field and role.
• Bachelor’s degree related to Information Technology, Computer Science, or a related field.
• Proven experience as a Rapid Application Developer, Engineer, or similar role within the Life Sciences industry.
• Knowledge of rapid application development methodologies, such as Agile or Scrum.
• Knowledge of software development best practices, including version control and continuous integration.
• Strong problem-solving skills and the ability to think critically and creatively in a fast-paced, innovative environment sometimes requiring frequent project transitions.
• Excellent interpersonal and communication skills and the ability to explain complex ideas to audiences without a technical background.
• Demonstrated ability for collaboration and conflict resolution with individuals representing a broad cross-section of the drug research and development function.
• Ability to work independently with minimal supervision or within a team and manage multiple projects simultaneously.
• Familiarity with clinical data standards and regulatory requirements (e.g., CDISC, FDA).
• Proven experience in data management and system engineering.
• Experience with data management and/or information integration efforts in large scale programs.

Responsibilities

• Help drive the initial implementation and evolution of the CDMS platform by providing advice and insight from an engineering perspective to the business.
• Assign tasks and provide guidance to other ZTD engineers working on the CDMS platform.
• Provide ownership of ZTD CDMS Engineering tasks and schedules.
• Planning and assessment of engineering activities by providing timelines for engineering tasks, defining definition of done, and identification of roadblocks.
• In partnership with ADS, aid in the design, development, and maintenance of the clinical data management ecosystem.
• Ensure data integrity, security, and compliance with regulatory standards.
• Collaborate with clinical teams to understand data requirements and workflows.
• Implement data integration solutions to streamline data collection and reporting.
• Troubleshoot and resolve system issues to ensure continuous operation.
• Develop and maintain documentation for system processes and procedures.
• Define detailed documentation on Zoetis specific interfaces/processes tied to our CDMS implementation.
• Execute or oversee installation and installation verification.
• Design, setup, and ensure execution of test automation.
• Translates business requirements into innovative solutions, system configurations, and coding tasks.
• Participate in the definition of long-term systems strategies and roadmaps.
• Provides technical effort estimates for proposed projects and solutions. Assists project managers by identifying technical tasks and system dependencies, estimating resources and task duration, defining definition of done, and identification of roadblocks.
• Provide financial evaluations of proposed solutions by providing technical effort estimates.
• Provide Level 3 and 4 support for the Clinical Data Management System.
• Give assistance to level 1 and 2 support teams.
• Stay updated with industry trends and advancements in clinical data management.
• Provide application engineering subject matter expertise and guidance to other IT disciplines including Zoetis IT solution partners, application vendors and service providers.
• Contribute to IT project delivery by providing technical and engineering expertise throughout all phases of the development life cycle with a focus on design & engineering activities.

Preferred Qualifications

• Experience with electronic data capture (EDC) systems
• Knowledge of cloud-based data management solutions
• Certification in clinical data management or related fields