Data-Flow Specialist

GSK

. Design, develop and maintain modular end-to-end data-flows spanning roles, interfaces, data and metadata, triggers and access .

Posted 10/26/2026full-timeLondon • United KingdomMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data-flow design and orchestration, integrating diverse data sources into reusable workflows while ensuring compliance and quality control. Proficient in leveraging AI and digital technologies to enhance data management and insights.

Highest-signal resume keywords

Data-Flow Design And OrchestrationIntegration Of Multiple Data SourcesProficiency In Azure And GCPExperience Delivering Data-Flow SolutionsKnowledge Of Metadata Ecosystems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ManagementData ModelingData SciencePredictive ModelingStatistical ModelsComputer ProgrammingArtificial IntelligenceComputational SciencesProblem-Solving

Soft Skills

CoachingPeer ReviewClear Communication

Tools & Technologies

AzureGCP

Industry Keywords

Compliance-By-DesignClinical Trial IHDProtocol DevelopmentMatrix EnvironmentData Specifications

Tech Stack

Tools & technologies

AzureGoogle Cloud Platform

About the role

Key responsibilities & impact

Design, develop and maintain modular end-to-end data-flows spanning roles, interfaces, data and metadata, triggers and access
Integrate systems and data sources into trusted, reusable assets across R&D
Write clean, readable code where required
Ensure data-flows support compliance-by-design
Integrate, contextualise and orchestrate data and systems in line with compliance principles
Deliver pre-packaged, curated data-flows aligned to business requirements
Document data specifications describing the processing steps required to generate each flow
Integrate diverse data flows, including protocol development, DSUR and clinical trial IHD, into a unified machine-readable format
Quality control and document deliverables
Hand over deliverables to function leads and the R&D Tech team for scale implementation where required
Provide coaching and peer review to ensure industry best practice and appropriate data standards

Requirements

What you’ll need

Relevant degree-level education, e.g. BS, MSc, PhD or equivalent, in Computer Science, Mathematics, Statistics or a related subject
Expertise in data-flow design and orchestration, including pre-processing, integrating, contextualising and governing data and systems into end-to-end workflows
Proficiency in integrating multiple data sources and systems into unified, reusable data-flows
Knowledge / experience of metadata ecosystems and building agentic solutions
Proficiency with a range of digital tools, e.g. Azure and GCP
Experience leveraging AI or digital technologies to improve efficiency or insights
Experience delivering data-flow solutions
Experience working in a complex matrix environment
Demonstrable clear problem-solving approach
Skills in Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling and Statistical Models

Benefits

Comp & perks

Agile working culture and flexibility opportunities
Equal opportunity employment
Reasonable adjustments and support during the recruitment process