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- Tasks: Design innovative data architecture and collaborate with scientific teams on AI-driven projects.
- Company: Leading global biopharmaceutical company in Greater London.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact on medical discoveries through data-driven insights.
- Qualifications: 5+ years in data architecture and experience with cloud platforms like Azure or GCP.
- Other info: Join a dynamic team in a regulated R&D environment.
The predicted salary is between 48000 - 72000 £ per year.
A leading global biopharmaceutical company in Greater London is seeking a Data Architect II to design cutting-edge data architecture. You will work closely with scientific teams to develop data products that leverage AI and ensure compliance in a regulated R&D environment.
The ideal candidate will have 5+ years of experience in data architecture and cloud platforms like Azure or GCP. Strong analytical skills and experience with Big Data solutions are crucial. This role offers the chance to impact medical discoveries through data-driven insights.
Data Architect II: GenAI & Data Mesh Champion in London employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Architect II: GenAI & Data Mesh Champion in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biopharmaceutical field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that Data Architect II role.
✨Tip Number 2
Showcase your skills! Create a portfolio of your past projects, especially those involving AI and data architecture. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud platforms like Azure and GCP. We recommend practising common interview questions related to data architecture and Big Data solutions to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make a difference in medical discoveries.
We think you need these skills to ace Data Architect II: GenAI & Data Mesh Champion in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data architecture and cloud platforms like Azure or GCP. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data architecture and how you can contribute to our mission of impacting medical discoveries. Keep it engaging and personal.
Showcase Your Analytical Skills: Since strong analytical skills are crucial for this role, make sure to include examples of how you've used these skills in past projects. We love seeing real-world applications of your expertise!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Gsk
✨Know Your Data Architecture Inside Out
Make sure you brush up on your knowledge of data architecture principles, especially in relation to AI and Big Data solutions. Be ready to discuss specific projects you've worked on, particularly those involving cloud platforms like Azure or GCP.
✨Showcase Your Analytical Skills
Prepare examples that highlight your strong analytical skills. Think about how you've used data to drive decisions or improve processes in previous roles. This will demonstrate your ability to contribute to the scientific teams effectively.
✨Understand the Regulatory Environment
Familiarise yourself with compliance requirements in a regulated R&D environment. Be prepared to discuss how you've navigated these challenges in past projects, as this will show your readiness for the role's responsibilities.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data strategy and how they leverage AI in their research. This not only shows your interest in the role but also your understanding of the industry's direction and challenges.
