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 and inclusive workplace where everyone can thrive.
- 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 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 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.
GSK is a global biopharma company with a special purpose – to unite science, technology and talent to get ahead of disease together – so we can positively impact the health of billions of people and deliver stronger, more sustainable shareholder returns – as an organization where people can thrive.
Getting ahead means preventing disease as well as treating it, and we aim to positively impact the health of 2.5 billion people by the end of 2030.
Our success absolutely depends on our people. While getting ahead of disease together is about our ambition for patients and shareholders, it’s also about making GSK a place where people can thrive. We want GSK to be a workplace where everyone can feel a sense of belonging and thrive as set out in our Equal and Inclusive Treatment of Employees policy.
We’re committed to being more proactive at all levels so that our workforce reflects the communities we work and hire in, and our GSK leadership reflects our GSK workforce.
As an Equal Opportunity Employer, we are open to all talent. In the US, we also adhere to Affirmative Action principles. This ensures that all qualified applicants will receive equal consideration for employment without regard to neurodiversity, race/ethnicity, colour, national origin, religion, gender, pregnancy, marital status, sexual orientation, gender identity/expression, age, disability, genetic information, military service, covered/protected veteran status or any other federal, state or local protected class.
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.
Should you require any adjustments to our process to assist you in demonstrating your strengths and capabilities contact us on Ukdiversity.recruitment@gsk.com or 0808 234 4391.
Please note should your enquiry not relate to adjustments, we will not be able to support you through these channels. However, we have created a UK Recruitment FAQ guide. Click the link and scroll to the Careers Section where you will find answers to multiple questions we receive.
As you apply, we will ask you to share some personal information which is entirely voluntary. We want to have an opportunity to consider a diverse pool of qualified candidates and this information will assist us in meeting that objective and in understanding how well we are doing against our inclusion and diversity ambitions. We would really appreciate it if you could take a few moments to complete it. Rest assured, Hiring Managers do not have access to this information and we will treat your information confidentially.
Senior Principal Engineer, Knowledge Graph & AI Lead in Ware employer: GlaxoSmithKline
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 seeking meaningful and impactful careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Principal Engineer, Knowledge Graph & AI Lead in Ware
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at GSK or similar companies. A friendly chat can lead to insider info about the role and even a referral.
✨Tip Number 2
Prepare for the interview by diving deep into Knowledge Graphs and AI technologies. Brush up on your technical skills and be ready to showcase how you can tackle real-world challenges in the CMC/NPI space.
✨Tip Number 3
Don’t just talk about your past experiences; share specific examples of how you’ve led teams and delivered complex projects. Use metrics to highlight your impact – numbers speak volumes!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you’re serious about joining the GSK team and making a difference.
We think you need these skills to ace Senior Principal Engineer, Knowledge Graph & AI Lead in Ware
Some tips for your application 🫡
Tailor Your Cover Letter:Make sure to customise your cover letter to highlight how your skills and experiences align with the specific requirements of the Senior Principal Engineer role. We want to see your passion for Knowledge Graphs and AI shine through!
Showcase Your Technical Expertise:In your CV, don’t just list your technical skills—demonstrate them! Include specific examples of projects where you’ve designed or implemented Knowledge Graphs, especially in cloud environments like Azure. We love seeing real-world applications of your expertise.
Highlight Leadership Experience:Since this role involves leading a team, make sure to emphasise any previous leadership roles you've had. Share how you’ve mentored others or driven performance improvements. We’re looking for someone who can inspire and guide our development team!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your materials and ensures you’re considered for the role. Plus, it gives you a chance to explore more about what we do at StudySmarter.
How to prepare for a job interview at GlaxoSmithKline
✨Know Your Knowledge Graphs
Make sure you brush up on your understanding of Knowledge Graphs, especially RDF graph technologies like Azno. Be ready to discuss your past experiences in designing and implementing these systems, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Leadership Skills
This role requires strong leadership and mentorship abilities. Prepare examples of how you've led technical teams in the past, focusing on how you drove performance and continuous improvement. Highlight specific instances where your guidance made a significant impact.
✨Align with Business Needs
Understand the business requirements and how Knowledge Graphs can transform processes. Be prepared to discuss how you've collaborated with product managers and stakeholders in previous roles to identify opportunities for data and AI capabilities that align with business goals.
✨Stay Updated on Industry Trends
Familiarise yourself with the latest advancements in Knowledge Graphs and related technologies. During the interview, mention any recent trends or innovations you've come across and how they could be applied to enhance system functionality and performance at GSK.