At a Glance
- Tasks: Lead the design and development of the CMC Knowledge Graph and Data & AI solutions.
- Company: Join a leading pharmaceutical company committed to innovation and collaboration.
- Benefits: Flexible working, competitive salary, and opportunities for professional growth.
- Other info: Agile culture with a focus on continuous improvement and mentorship.
- Why this job: Make a real impact in transforming data processes within the pharmaceutical industry.
- Qualifications: Strong experience in Knowledge Graphs, cloud environments, and technical team leadership.
The predicted salary is between 80000 - 100000 £ 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 the 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 engaging users and other business stakeholders to gather feedback and identify system enhancements.
- Collaborate with the 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, review and approve 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:
- 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:
- Understanding of pharmaceutical industry data and domain knowledge within CMC.
- Knowledge of GxP compliance requirements and experience implementing them in data engineering projects.
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.
Senior Principal Engineer - Graph in London employer: GlaxoSmithKline
GSK is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Principal Engineer - Graph role. With a strong emphasis on employee growth and development, GSK offers opportunities to lead transformative projects in Data & AI, while also providing flexibility through an agile working environment. Employees benefit from a commitment to diversity and inclusion, ensuring that all voices are heard and valued in driving the company's mission forward.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Principal Engineer - Graph in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get you a foot in the door faster than a CV.
✨Tip Number 2
Prepare for those interviews! Research the company and its products, especially anything related to Knowledge Graphs and Data & AI. Show them you’re not just another candidate, but someone who’s genuinely interested in their work.
✨Tip Number 3
Don’t shy away from showcasing your hands-on experience. Be ready to discuss specific projects where you’ve led technical teams or tackled complex data challenges. Real-world examples can make you stand out!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re serious about joining our team.
We think you need these skills to ace Senior Principal Engineer - Graph in London
Some tips for your application 🫡
Show Your Technical Expertise:Make sure to highlight your strong technical skills in designing and developing Knowledge Graphs. We want to see your experience with RDF graph technologies and any cloud environments you've worked in, especially Azure.
Tailor Your Application:Don’t just send a generic application! Tailor your CV and cover letter to reflect how your experience aligns with the role. Mention specific projects where you’ve led technical teams or delivered complex data engineering solutions.
Be Hands-On:We love candidates who can demonstrate hands-on problem-solving skills. Share examples of how you've tackled technical challenges in previous roles, especially those related to product life-cycles and DevOps practices.
Apply Through Our Website:Remember, the best way to apply is through our website! It’s super easy and ensures your application gets to the right people. Plus, it shows us you’re genuinely interested in joining our team.
How to prepare for a job interview at GlaxoSmithKline
✨Know Your Graphs
Make sure you brush up on your knowledge of Knowledge Graphs, especially RDF graph technologies like Azno. Be ready to discuss your past experiences with designing and implementing these systems, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Senior Principal Engineer, you'll need to demonstrate your ability to lead and mentor a team. Prepare examples of how you've guided teams in the past, focusing on your approach to driving performance and continuous improvement.
✨Understand the Business Impact
Familiarise yourself with how Knowledge Graphs can transform CMC and NPI processes. Be prepared to discuss specific opportunities you've identified in previous roles where data and AI capabilities made a significant impact on business outcomes.
✨Stay Current with Tech Trends
Keep yourself updated on the latest advancements in Knowledge Graph technologies and related fields. During the interview, share insights on new technologies or patterns you've implemented and how they could enhance system functionality and performance.
