At a Glance
- Tasks: Design and build tools to solve key business problems in healthcare.
- Company: Global biopharma company based in Greater London.
- Benefits: Competitive salary, health benefits, and opportunities for impactful work.
- Why this job: Contribute to innovative healthcare solutions that affect billions of lives.
- Qualifications: Bachelor's in a relevant field and expertise in Python, Cloud, and HPC.
- Other info: Join a dynamic team focused on cutting-edge technology in healthcare.
The predicted salary is between 36000 - 60000 £ per year.
A global biopharma company in Greater London is looking for a Compute Platform Engineer II to design and build tools that solve key business problems. The role requires a Bachelor's in a relevant field and expertise in Python, Cloud, and HPC. Ideal candidates will have significant technical experience and be adept at producing high-quality software. This position enables the successful applicant to contribute directly to innovative healthcare solutions that impact the health of billions.
Compute Platform Engineer II — Cloud & HPC Data Platform employer: GlaxoSmithKline
Contact Detail:
GlaxoSmithKline Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Compute Platform Engineer II — Cloud & HPC Data Platform
✨Tip Number 1
Network like a pro! Reach out to folks in the biopharma and tech communities, especially those working with Cloud and HPC. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects or any tools you've built. This is your chance to demonstrate your expertise and passion for solving real-world problems.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to Cloud and HPC. We recommend practicing coding challenges and discussing your past projects to highlight your experience.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Compute Platform Engineer II — Cloud & HPC Data Platform
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Cloud, and HPC. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about the role and how you can contribute to innovative healthcare solutions. Keep it engaging and personal – we love to see your personality!
Showcase Your Technical Skills: In your application, be specific about your technical expertise. Mention any tools or frameworks you’ve used in your previous roles that relate to the job description. We’re looking for candidates who can produce high-quality software, so let us know what you’ve built!
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 – just follow the prompts and submit your materials!
How to prepare for a job interview at GlaxoSmithKline
✨Know Your Tech Inside Out
Make sure you brush up on your Python, Cloud, and HPC knowledge. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Problem-Solving Skills
Prepare examples of how you've designed and built tools to solve business problems in the past. Think about the impact your solutions had and be ready to explain your thought process during the interview.
✨Understand the Company’s Mission
Research the biopharma company and its innovative healthcare solutions. Being able to articulate how your role as a Compute Platform Engineer II can contribute to their mission will show your genuine interest and alignment with their goals.
✨Practice Coding Challenges
Expect technical questions or coding challenges during the interview. Practise common algorithms and data structures in Python, and be prepared to explain your code clearly and concisely as you work through problems.