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- Tasks: Design and deploy data-driven applications for a scientific team.
- Company: Leading global biopharma company in Greater London.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Join a dynamic team and make a real impact in biopharma innovation.
- Qualifications: Bachelor's degree, backend programming skills, and cloud experience required.
- Other info: Collaborative environment with a focus on high-quality software engineering.
The predicted salary is between 36000 - 60000 £ per year.
A leading global biopharma company in Greater London is looking for an Application Engineer II to design and deploy data-driven applications for their scientific team. The role requires strong communication and backend programming skills, with experience in cloud environments. You will contribute to building and maintaining APIs and support applications in production.
Candidates should have a Bachelor's degree in a related field, proficiency in modern development tools, and a commitment to high-quality software engineering practices.
Full-Stack Data Applications Engineer II employer: Gsk
Contact Detail:
Gsk Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Data Applications Engineer II
✨Tip Number 1
Network like a pro! Reach out to people in the biopharma industry on LinkedIn or at local meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data-driven applications and APIs. We want to see your coding prowess and how you tackle real-world problems.
✨Tip Number 3
Prepare for technical interviews by brushing up on your backend programming skills. We recommend practicing coding challenges and reviewing cloud environments, as these are key for the role. Don’t forget to articulate your thought process!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. We’re always on the lookout for passionate candidates who are ready to contribute to our scientific team.
We think you need these skills to ace Full-Stack Data Applications Engineer II
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with backend programming and cloud environments. We want to see how your skills align with the role of a Full-Stack Data Applications Engineer II, so don’t hold back on 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-driven applications and how your background makes you a perfect fit for our scientific team. Let us know what excites you about this opportunity!
Showcase Your Communication Skills: Since strong communication is key for this role, make sure to demonstrate your ability to convey complex ideas clearly in your application. Whether it’s through your CV or cover letter, we want to see how you can bridge the gap between tech and science.
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 Full-Stack Data Applications Engineer II position. Plus, it’s super easy!
How to prepare for a job interview at Gsk
✨Know Your Tech Stack
Make sure you’re well-versed in the programming languages and tools mentioned in the job description. Brush up on your backend skills and be ready to discuss your experience with cloud environments, as this will show your technical prowess.
✨Showcase Your Communication Skills
Since the role involves working closely with a scientific team, practice explaining complex technical concepts in simple terms. Prepare examples of how you've effectively communicated with non-technical stakeholders in the past.
✨Prepare for API Discussions
Be ready to talk about your experience with building and maintaining APIs. Think of specific projects where you’ve contributed to API development and be prepared to discuss the challenges you faced and how you overcame them.
✨Demonstrate Your Commitment to Quality
Highlight your dedication to high-quality software engineering practices. Discuss any methodologies you follow, such as Agile or DevOps, and provide examples of how you ensure code quality and maintainability in your projects.
