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- Tasks: Drive innovation in data and AI/ML solutions within a collaborative team.
- Company: Global healthcare company focused on advancing healthcare through technology.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by developing scalable data pipelines and applications.
- Qualifications: Strong full-stack development skills, proficient in JavaScript and Python.
- Other info: Join a dynamic team with a focus on cutting-edge technology and career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A global healthcare company is looking for a Software Engineer to drive innovation in data and AI/ML solutions. You will work within a collaborative team to develop modern computational ecosystems, focusing on delivering scalable data pipelines and applications.
Requires a strong background in full-stack development, proficient in JavaScript and Python, as well as experience with cloud-native architecture. This role is pivotal in advancing healthcare solutions through data-driven science.
Senior Software Engineer, Data & AI Platform in London employer: F. Hoffmann-La Roche AG
Contact Detail:
F. Hoffmann-La Roche AG Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Software Engineer, Data & AI Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the healthcare tech space, especially those working with data and AI. A friendly chat can open doors and give you insights that might just land you that Senior Software Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in full-stack development, especially those using JavaScript and Python. This is your chance to demonstrate how you can drive innovation in data and AI solutions.
✨Tip Number 3
Prepare for technical interviews by brushing up on cloud-native architecture. We all know that hands-on experience speaks volumes, so be ready to discuss your past projects and how they relate to scalable data pipelines.
✨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 Senior Software Engineer, Data & AI Platform in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your full-stack development experience, especially with JavaScript and Python. We want to see how your skills can drive innovation in our data and AI/ML solutions!
Tailor Your Application: Don’t just send a generic application! Customise your CV and cover letter to reflect how your experience aligns with the role. We love seeing candidates who take the time to connect their background with what we do.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the job description.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates!
How to prepare for a job interview at F. Hoffmann-La Roche AG
✨Know Your Tech Stack
Make sure you’re well-versed in JavaScript and Python, as these are key for the role. Brush up on your full-stack development skills and be ready to discuss specific projects where you've used these technologies.
✨Showcase Your Cloud-Native Experience
Since the company is looking for someone with cloud-native architecture experience, prepare examples of how you've implemented solutions in cloud environments. Be ready to explain the benefits of your approach and any challenges you faced.
✨Collaborative Mindset
This role involves working within a collaborative team, so highlight your teamwork skills. Share instances where you’ve successfully collaborated on projects, especially those that involved data and AI/ML solutions.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice coding challenges or system design scenarios that relate to scalable data pipelines and applications, as this will demonstrate your critical thinking and technical prowess.
