Analyst Ii Esource Data Acquisition Expert
il y a 15 heures
**Function**
- Data Analytics & Computational Sciences
**Sub function**
- Clinical Data Management
**Category**
- Experienced Analyst, Clinical Data Management (P5)
**Location**
- Beerse / Belgium
**Date posted**
- Jun 10 2025
**Requisition number**
- R-006299
**Work pattern**
- Hybrid Work
Description
**Job Function**:
Data Analytics & Computational Sciences
** Job Sub Function**:
Clinical Data Management
** Job Category**:
Professional
** All Job Posting Locations**:
Beerse, Antwerp, Belgium
** Job Description**:
**About Innovative Medicine**
Our expertise in Innovative Medicine is informed and inspired by patients, whose insights fuel our science-based advancements. Visionaries like you work on teams that save lives by developing the medicines of tomorrow.
Join us in developing treatments, finding cures, and pioneering the path from lab to life while championing patients every step of the way.
High Wycombe, United Kingdom - Requisition Number: R-006836
Seoul, Korea - Requisition Number: R-007021
Beerse, Belgium - Requisition Number: R-006299
Johnson & Johnson Innovative Medicine is recruiting for an **Analyst II Esource Data Acquisition Expert** to join our Data Acquisition-eSource team within the Integrated Data Analysis and Reporting (IDAR) Data Management & Central Monitoring organization.
**Position Summary**
Are you ready to join a growing team driving the implementation of data acquisition strategy and the future e-clinical trial landscape at Johnson & Johnson?
As a key member of the Data Acquisition-eSource team, the Analyst II Esource Data Acquisition Expert uses in-depth knowledge of electronic data capture build and design, data transfer specifications, (e.g. requirements gathering and creation), and integration testing to support a diverse clinical development portfolio. This role uses knowledge of industry standards and specifications for ingestion, transformation, and storage of external data.
**Key responsibilities**
- Evaluate electronic case report form build for compatibility with external data interoperability to create an integration specification
- Collaborate cross-functionally and with external data providers to understand the purpose of data collected, align data availability and consumption requirements, and drive optimal data acquisition solutions.
- Analyze data and content from external data streams and propose efficient pathways to acquire and integrate relevant data.
- Lead the development and setup of traditional and novel data streams and related documents within assigned scope.
- Participate in continuous improvement initiatives contributing to innovation and the maturation of an industry leading data acquisition capability.
- Actively contribute to the shaping of the organization, improving re-usability, efficiency, and consistency of tools and processes across studies and therapeutic areas.
**Qualifications, skills, and experience**
**Required**:
- Bachelor's degree (e.g., BS, BA) or equivalent professional experience is required, preferably in Clinical Data Management, Health, or Computer Sciences. Advanced degrees preferred (e.g., Master, PhD).
- Minimum 2 years of experience in Pharmaceutical, CRO or Biotech industry or related field or industry.
- Experience working in a multi-functional environment and ability to adapt to different ways of working.
- Proven track record of effective communication skills, including strong verbal and written communication, influencing, and partnering skills.
- Demonstrated experience working with external data providers, clinical data, and data structures within a clinical study/research setting.
- Electronic data capture systems build and design
- Good understanding of the overall drug development process and GCP/ICH guidelines.
**Preferred**:
- Certified Electronic Data Capture builder
- Demonstrated understanding of relevant data collection, transfer, and submission industry standards (e.g., LOINC, ODM, HL7 FHIR®).
- Experience working with data from EHR/EMR, Digital Health technologies, and/or Real-World Data.
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