At a Glance
- Tasks: Lead the design and implementation of cutting-edge Knowledge Graph and AI solutions.
- Company: Join GSK, a global biopharma leader dedicated to improving health worldwide.
- Benefits: Enjoy flexible working, competitive salary, and opportunities for professional growth.
- Other info: Be part of a diverse team committed to innovation and inclusion.
- Why this job: Make a real impact in healthcare by transforming data into actionable insights.
- Qualifications: Strong experience in Knowledge Graphs, cloud environments, and leading technical teams.
The predicted salary is between 70000 - 90000 £ per year.
The primary purpose of this role is to take technical accountability for the CMC Knowledge Graph, driving forward its design and implementation through being hands-on and by providing technical direction and oversight to the rest of the development team, while also working closely with Product Management, business representatives and other Tech & Data experts to ensure that it meets the business requirements.
More broadly, the role will additionally:
- Support the CMC Knowledge System Director, product managers, business leaders and other stakeholders to identify opportunities where Knowledge Graph and other Data & AI capabilities can have a transformative impact on GSK’s CMC and New Product Introduction (NPI) processes.
- Provide technical leadership for other Data & AI Products in the CMC/NPI portfolio.
The immediate priority in the role is to drive the technical work needed to productionise an existing proof-of-concept CMC Knowledge Graph and its associated analytics use-cases into a full-fledged, sustainable, supportable Data & AI Product.
In this role you will…
- Lead the ongoing technical design, development, testing and release of the CMC Knowledge Graph and other Data & AI solutions in CMC/NPI portfolio.
- Provide leadership, technical guidance, and mentorship to the development team (both internal staff and contractors), driving performance and continuous improvement, including identifying and realising opportunities to increase velocity.
- Use hands-on technical problem-solving expertise to address technical challenges throughout the product life-cycle.
- Support Product Management in creating and evolving a compelling Product vision and roadmap, using expertise and insights on the art-of-the-possible as well as in engaging users and other business stakeholders to gather feedback and identify system enhancements.
- Collaborate with Data & AI Architecture team and other stakeholders to ensure alignment with established architecture standards, contributing to and evolving them to incorporate new technologies and patterns as needed.
- Ensure compliance with relevant policies and procedures (including GxP validation where required).
- Provide input to, reviewing and approving key technical documents (e.g. design spec, validation plan).
- Stay updated with the latest advancements in Knowledge Graph and related technologies, recommending and implementing improvements to enhance system functionality and performance.
- Lead discovery / proof-of-concept activities to establish early technical feasibility of new Products or Product Features.
Basic Qualifications/Experience:
We are looking for professionals with these required skills to achieve our goals:
- Strong technical expertise in designing, developing, and supporting Knowledge Graphs, including proficiency in working with RDF graph technologies, preferably Azno.
- Proven track record in delivering complex data engineering projects in a cloud environment, preferably Azure.
- Experience in leading and managing technical teams.
- Expertise in data modelling/ontologies, data integration, and data transformation techniques.
- Strong programming skills and proficiency in utilising code repositories, such as Git, for efficient version control, collaboration, and code management.
- Experience with DevOps principles and CI/CD practices to automate software delivery, streamline development processes, and ensure efficient deployment and monitoring.
Preferred Qualifications/Experience:
If you have the following characteristics, it would be a plus:
- Understanding of pharmaceutical industry data and domain knowledge within CMC.
- Knowledge of GxP compliance requirements and experience implementing them in data engineering projects.
Senior Principal Engineer, Knowledge Graph & AI Lead employer: Gsk
GSK is an exceptional employer that fosters a culture of innovation and collaboration, particularly in the dynamic field of biopharma. With a commitment to employee growth and inclusivity, GSK offers robust opportunities for professional development while ensuring a supportive environment where diverse talents can thrive. Located in a vibrant community, employees benefit from flexible working arrangements and a strong focus on work-life balance, making it an ideal place for those looking to make a meaningful impact in healthcare.
