Create and maintain scientific data information models
Advising on implementation of data information models in clinical trial context
Develop and implement a vision and strategy to create and govern scientific data information models to enable storage & accessibility in alignment with the R&D Data Platforms
Ensure alignment of governance and data management practice by partnering with enterprise-wide information and data architects, ontology management, data governance groups
Partner strongly with the R&D Tech teams and deliver use-cases to address the deficiencies and opportunities that exist to further create and modernise clinical, RWD and bioinformatics data information models
Represent the organization in industry forums and collaborate with external partners to advance data information modelling practices
Requirements
BS/MSc/PhD (or equivalent) in Information Science, Bioinformatics, Computer Science, or related subject
Hands-on experience in curating and managing data (e.g. consolidating data from different formats like spreadsheets, databases, or raw files into a centralized repository)
Understanding of data information modelling (e.g. development of conceptual and logical data models) and governance principles and practices
Agile mindset, the ability to iterate improvements based on stakeholder feedback
Deep expertise of clinical data and information models like USDM (Unified Study Definition Model), HL7-FHIR, OMOP(CDM), CDISC (ODM: CDASH, SDTM, ADaM)) and other industry standards
Deep expertise in clinical data regulations, processes and interfaces
Have experience in driving change in a large global organization
Benefits
healthcare and wellbeing programmes
pension plan membership
shares and savings programme
hybrid working model
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data information modelsdata managementdata curationconceptual data modelslogical data modelsUSDMHL7-FHIROMOPCDISCclinical data regulations