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Paris, FR, 92500
Live, first seen by us 28 days agoOwn and manage the BDM server and its automated data delivery
Lead EDC operational improvements, upgrades, patches, and maintenance
Build dashboards and reporting infrastructure for study oversight
Manage the automation framework for validation and data delivery
Lead audit and health authority inspection preparation
The scope of work includes ownership and management of the BDM server, automation of data delivery, and dashboards for Clinical Data Management and study operations.
Lead and coordinate the implementation of system patches, upgrades, and maintenance activities with internal and external stakeholders.
Establish a robust, scalable, and reliable reporting infrastructure strategy that enables the generation of on-demand and scheduled operational reports for downstream consumption.
Manage the automation framework for validation and data delivery.
Lead content preparations and follow-up actions related to internal audits, and health authority inspections.
serves as a subject matter expert in server technologies
in conformance with applicable GxP requirements, global regulations, and data privacy laws
Education Qualifications Bachelor’s degree or higher in computer science, Data Science, Bioinformatics, or a related field required. Experience Qualifications
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Day 28
Similar jobs usually come down between day 7 and day 55.
From 8,580 similar postings that came down. Coming down is not always a hire.
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Open jobs by the week we first saw them, last 12 weeks.
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Experience Qualifications 7+ years of experience in clinical data engineering. Strong expertise in Python, ETL frameworks, SQL, and automation development. System infrastructure development. Experience with AWS, R Shiny, AI/ML, Rave APIs, MySQL, Python, and Tableau. Familiarity with Electronic Data Capture Systems such as Medidata Rave. Knowledge of other clinical system technologies; knowledge of CDASH and CDISC data standards; knowledge of data collection and integration tools and technologies. Knowledge of GxP, ICH-GCP, and 21 CFR Part 11 regulatory requirements. 4+ years of experience managing people and initiatives; experience overseeing vendors.
- Strong knowledge of industry-leading EDC technology platforms (e.g., Medidata Rave, Veeva CDMS, etc.). - Advanced proficiency in cloud-native architecture, data lakes, and visualization frameworks (e.g., R Shiny, Tableau), and strong programming skills (R, Python), with a deep understanding of GxP, AI/ML operations, and managing AI agents in Clinical data environments. - Hands-on experience with Medidata Rave APIs, Clinical Data APIs, and integration technologies.
- Hands-on experience with Medidata Rave APIs, Clinical Data APIs, and integration technologies. - Knowledge of SQL and Clinical databases. Experience with REST APIs, JSON, XML, ODM, and API authentication. - Knowledge and awareness of industry trends, best practices, and emerging technologies for data collection, management, and reporting.
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New Data Leadership postings at the employers we follow are about the same over the last 6 weeks compared with the 6 before.
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We file this job under Data Leadership, by the work the posting describes.
Data leaders run data teams or design how a company's data fits together. Managers hire, set priorities and answer for whether the data work pays off; architects choose the systems and the shape of the data.
Expect years of hands-on data work, experience leading people or projects, and the ability to explain tradeoffs to executives.
Unlike a senior engineer or analyst, most of a data leader's week goes to people, planning and decisions rather than building.
The government has no code for data leaders, so these figures are for the closest group, computer and information systems managers, which includes data processing and data operations managers.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 11-3021.
At Daiichi Sankyo, we are united by a single purpose, to improve lives around the world through innovative medicines. With a legacy of innovation since 1899, a presence in more than 30 countries, and more than 19,000 employees, we are advancing breakthrough therapies in oncology, cardiovascular disease, rare diseases, and immune disorders. Guided by our 2030 vision to "be an innovative global healthcare company contributing to the sustainable development of society", we are shaping a healthier, more hopeful future for patients, their families, and society.
The Associate Director, Clinical Data Warehouse is a member of the Biostatistics and Data Management team and serves as a subject matter expert in server technologies and manages operational activities and procedures to support Data Management operational business needs. The scope of work includes ownership and management of the BDM server, automation of data delivery, and dashboards for Clinical Data Management and study operations. The individual will also provide guidance and expertise on industry best practices applied to data management, study teams, and other stakeholders in the use of technology, data standards, and processes. This individual will help to improve quality by delivering enhanced business capabilities and efficiencies. This position will manage all EDC system integration activities to support internal and cross-functional business needs in conformance with applicable GxP requirements, global regulations, and data privacy laws. In addition, the individual will also engage in EDC administrative and operational improvements, provide oversight, contribute to the integration design specifications, and manage functional and user acceptance testing and risk management. This position will work closely with other members of the Biostatistics and Data Management teams, DS Information Technology, External CRO Partners, Functional Service Providers, Technology Providers, and other stakeholders. The primary location for this position is France, with Germany as the secondary location.
Leadership, Direction, and Strategy:
Project Management:
Functional Expertise:
Operational Efficiency / Continuous Improvement:
Education Qualifications
Bachelor’s degree or higher in computer science, Data Science, Bioinformatics, or a related field required.
Experience Qualifications
7+ years of experience in clinical data engineering. Strong expertise in Python, ETL frameworks, SQL, and automation development. System infrastructure development. Experience with AWS, R Shiny, AI/ML, Rave APIs, MySQL, Python, and Tableau. Familiarity with Electronic Data Capture Systems such as Medidata Rave. Knowledge of other clinical system technologies; knowledge of CDASH and CDISC data standards; knowledge of data collection and integration tools and technologies. Knowledge of GxP, ICH-GCP, and 21 CFR Part 11 regulatory requirements.
4+ years of experience managing people and initiatives; experience overseeing vendors.
Competencies:
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Paris, FR, 92500
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