At a Glance
- Tasks: Design and develop modular data-flows to enhance GSK's R&D capabilities.
- Company: Join GSK, a global biopharma leader with a mission to improve health worldwide.
- Benefits: Flexible working culture, competitive salary, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on innovation and collaboration.
- Why this job: Make a real impact by transforming data into trusted, automation-ready solutions.
- Qualifications: Degree in Computer Science or related field; experience in data-flow design required.
The predicted salary is between 63000 - 77000 £ per year.
At GSK we are looking for a capable technical builder to join our Data-flow team (who design and govern the data-flows that GSK’s Research & Development (R&D) division runs on). If you believe data should move on its own and still arrive trusted, then this role could be for you. The Data Flow Specialist role sits within the Data Value Office (DVO) for the Chief Medical Officer (CMO) organization of GSK’s Research & Development (R&D) function. This role is focused on delivering data-flows-as-product, compliance-as-code, and governance built into the pipeline (instead of bolted-on). You will turn scattered systems and sources into modular, reusable, end-to-end flows in one consistent format that can be used to its full potential throughout GSK’s R&D divisions. Your mission is to make R&D data visible, trusted and automation-ready (by default) so teams can decide faster and scale agentic solutions with confidence (whilst keeping the human expert in the loop). The role combines hands-on delivery of curated and integrated data-flows with coaching and peer-review (to hold the team’s work to industry best practice).
Key Responsibilities:
- Design, develop and maintain modular end-to-end data-flows (spanning roles, interfaces, data and metadata, triggers and access) and integrate systems and data sources into trusted, reusable assets across R&D (this will include writing clean, readable code where required).
- Ensure data-flows support compliance-by-design, integrating, contextualising and orchestrating data and systems in line with compliance principles.
- Deliver pre-packaged, curated data-flows aligned to business requirements (for functional leads and R&D Tech teams), including documented data specifications that describe processing steps required to generate each flow.
- Integrate diverse data flows such as protocol development, DSUR and clinical trial IHD into a unified machine readable format for consistent implementation and a genuine end-to-end data ecosystem.
- Ensure deliverables are appropriately quality controlled, documented and, where required, able to be handed over to function leads and the R&D Tech team for scale implementation.
- Provide coaching and peer review to ensure the team’s work reflects industry best practice for data flow creation activities, including data standards.
Location: GSK HQ London, Stevenage, or Ware R&D. Please Note: If the successful applicant is based at Stevenage site: This role will temporarily be based at Stevenage. However, the Company plans to relocate its offices to Cambridge, UK. The location of this role will therefore subsequently change to Cambridge UK, in accordance with timelines to be set by the Company. The relocation is currently proposed to take effect by early 2029.
About You: Please note that this role is not a documentation role. We are looking for a technical subject matter expert with experience of delivering data-flow solutions. As this role is multi-faceted and includes collaborating / liaising with a wide variety of stakeholders and matrix teams you must have experience of working in a complex matrix-environment, with demonstrable clear problem-solving approach to your work.
Basic Qualifications:
- Relevant degree-level education (eg; 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 (eg; Azure, GCP) and experience leveraging AI or digital technologies to improve efficiency or insights.
Skills: Artificial Intelligence (AI), Computational Sciences, Computer Programming, Data Analysis, Data Management, Data Modeling, Data Science, Predictive Modeling, Statistical Models.
GSK is an Equal Opportunity Employer. This ensures that all qualified applicants will receive equal consideration for employment without regard to race, color, religion, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, genetic information (including family medical history), military service or any basis prohibited under federal, state or local law.
We believe in an agile working culture for all our roles. If flexibility is important to you, we encourage you to explore with our hiring team what the opportunities are.
Data-Flow Specialist employer: GlaxoSmithKline plc
GSK is an exceptional employer that fosters a culture of innovation and collaboration, making it an ideal place for professionals seeking to make a meaningful impact in the biopharma industry. With a commitment to employee growth through continuous learning opportunities and a flexible hybrid working model, GSK empowers its workforce to thrive while contributing to groundbreaking advancements in healthcare. Located in vibrant London, employees benefit from a dynamic work environment that prioritises ambition for patients and accountability for results.
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