Senior Clinical Data Engineer/Staff/Experimental Medicine Japan D&A

Basic Purpose of the Job Key contact partner in cultivating the "power of data" by means of: Data collection/curation, data review, data delivery Data standardization Process definition, testing and training Translate scientific requirements into technical specifications. Collect, ingest, structure, curate and standardize clinical trial-related data from internal and external sources.

Ensure data quality and integrity by implementing plausibility checks, anomaly detection and fraud detection methods in data collection systems. Support the clinical research development process through advanced expertise in: Data collection/curation, data review and delivery Data standardization Process definition, testing and training Interpret scientific and clinical requirements and translate them into project/trial-level technical specifications for new substances, indications and marketing claims.

Key Accountabilities 1. Technical Specifications and Data Delivery Responsible for: Interpreting requirements and translating them into trial/project-level technical specifications Providing clinical trial/project data to business users Facilitating requirements gathering Developing solutions for immediate and long-term business needs Monitoring and maintaining clinical data environments Responding to trial/project issues Success Measures Quality trial/project deliverables Timeline adherence Feedback from development teams, Product Owners (POs) and capability managers 2.

Vendor Oversight Provide oversight of: Data collection/curation Data review and delivery Data standardization Process definition, testing and training performed by BPOs/CROs. Success Measures Quality oversight deliverables Timeline adherence Feedback from stakeholders 3.

Data Quality & Inspection Readiness Recommend and test ways to improve data reliability, integrity and quality Ensure real-time inspection readiness of all data collection and data review/delivery deliverables Participate in regulatory inspections and internal audits Success Measures Quality mindset Process improvement contributions Inspection and audit readiness Feedback from POs, capability managers and Quality Management partners 4. Cross-Functional Collaboration Work closely with development teams within ExpMED and other BI functions Contribute to cross-functional and team-based thinking Success Measures Feedback and satisfaction from collaboration partners 5.

Innovation & Continuous Learning Stay current with data science developments Explore new data collection, curation, standardization and digital technologies Promote innovative tools and processes Success Measures Quality and innovation of new solutions Regulatory acceptability Team and chapter feedback 6. Training & Knowledge Sharing Conduct and support training for Clinical Data Engineers Success Measures Positive trainee feedback Increased knowledge sharing within the CDE Community of Practice 7.

Process Development Participate in BI cross-functional process development teams Drive and plan relevant Clinical Data Engineering activities Success Measures Quality and frequency of participation Business impact of process improvements Feedback from Global Product Owners and Product Owners Regulatory and Organizational Requirements Must know, understand and implement: International regulations and guidelines for Good Clinical Practice and statistical practice ICH guidelines including: ICH E3 ICH E5 ICH E6 ICH E8 ICH E9 ICH E10 ICH E17 Clinical development and data standardization guidelines BI processes and SOPs governing clinical development All work must be performed: With high ethical and professional standards According to BI values In compliance with quality requirements Job Complexity Solves complex and defined problems Primarily operational with limited strategic impact Considers requirements and needs of other departments and functions Interfaces Interacts with functions and roles within and outside ExpMED, including: Medicine Therapeutic Areas TMCP GRA Represents BI on regulatory matters relating to: Data collection Data review Data delivery Data standardization Process definition Testing Training at trial, project and asset levels. Job Expertise Required: Advanced understanding of the clinical trial development process Demonstrated experience building, testing, curating, overseeing and interpreting clinical trial data Curiosity and innovation in solving data-related challenges Pharmaceutical industry, CRO or academic research experience At least 3 years of professional experience Basic leadership experience Job Impact Responsible for global clinical trial deliverables involving: Data collection/curation Data review and delivery Data standardization Process definition Testing Training for products in clinical development and post-approval phases.

Independently oversees related activities performed by BPOs and CROs. Education Requirements Bachelor's Degree (or equivalent combination of qualifications and experience) Preferred fields: Life Sciences Computer Science Software Engineering Computer Engineering Related disciplines Master's Degree preferred (e.g., MBA, MSc) Required Capabilities Technical Knowledge of Data Collection Tools (EDC systems) Knowledge of Data Review Tools Knowledge of Data Standardization methodologies and requirements Experience processing clinical trial information Clinical Knowledge Understanding of clinical trial design Basic medical terminology Professional Skills Strong organizational skills Problem-solving ability Negotiation skills Time management Initiative Communication & Leadership Strong communication skills Confident and persuasive communicator Ability to lead and facilitate meetings Collaboration Ability to work on multidisciplinary teams Vendor management capability Relationship management skills Cultural Awareness Awareness of local and global cultures Ability to communicate effectively across diverse audiences Language English: Fluent (Read / Write / Speak)