At a Glance
- Tasks: Build backend and cloud systems for cutting-edge AI in biology.
- Company: Frontier biology AI lab focused on brain health and disease prevention.
- Benefits: Competitive salary, flexible work environment, and opportunities for professional growth.
- Other info: Dynamic team environment with a focus on complex, data-heavy projects.
- Why this job: Make a real impact in healthcare by working with innovative AI technologies.
- Qualifications: Experience in backend systems, cloud infrastructure, and data management.
The predicted salary is between 60000 - 80000 € per year.
We are a frontier biology AI lab working at the intersection of AI, experimental biology, and clinical research. We generate our own data in-house, build general-purpose biological foundation models, and translate discoveries into real research and clinical impact through studies we run ourselves. Our focus is understanding the brain, protecting it from neurological disease, and ultimately enhancing it in health.
We’re hiring a Senior Software Engineer to help build the backend and cloud systems that bring these models into real-world use.
- 5% frontend
- You will work on systems that support large-scale biological datasets, experiment and model lineage tracking, and reproducible research workflows, while ensuring strong performance, reliability, and observability in production.
- Designing and building APIs for datasets, experiments, and workflows
- Owning data models, schemas, and system boundaries
- Building tenant-aware access control and permissions
- Optimising performance and data integrity in PostgreSQL systems
- Deploying and operating services in AWS or GCP
- Building monitoring, logging, and debugging infrastructure
- Occasionally contributing to React or Next.js frontends
This is a role for engineers who enjoy working across backend systems, cloud infrastructure, and real product surfaces, especially in complex, data-heavy environments.
Ingegnere dei dati (f/m) employer: Hlx Life Sciences
As a pioneering AI lab at the forefront of biology, we offer an exceptional work environment that fosters innovation and collaboration. Our commitment to employee growth is evident through opportunities to engage in cutting-edge research while working alongside experts in AI and experimental biology. Located in a vibrant area, our culture promotes a healthy work-life balance, ensuring that you can thrive both personally and professionally as you contribute to meaningful advancements in neurological health.
StudySmarter Expert Advice🤫
We think this is how you could land Ingegnere dei dati (f/m)
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. 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 related to data engineering and cloud systems. We love seeing real-world applications of your work, so make sure to highlight any relevant experience you have.
✨Tip Number 3
Prepare for interviews by brushing up on technical skills and understanding the company’s mission. We’re all about AI and biology, so being able to discuss how your expertise aligns with our goals will definitely give you an edge.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love candidates who take the initiative to engage directly with us.
We think you need these skills to ace Ingegnere dei dati (f/m)
Some tips for your application 🫡
Show Your Passion for AI and Biology:When writing your application, let us see your enthusiasm for the intersection of AI and biology. Share any relevant projects or experiences that highlight your interest in these fields, as we love to see candidates who are genuinely excited about our mission.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight your experience with backend systems, cloud infrastructure, and data management, as these are key areas for us. Use specific examples to demonstrate how your skills align with what we're looking for.
Be Clear and Concise:We appreciate clarity in applications. Keep your writing straightforward and to the point. Avoid jargon unless it's relevant, and make sure your key achievements stand out. This helps us quickly understand your qualifications and fit for the role.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re serious about joining our team at StudySmarter.
How to prepare for a job interview at Hlx Life Sciences
✨Know Your Data
Make sure you understand the types of biological datasets you'll be working with. Brush up on your knowledge of data models and schemas, as well as how they relate to the backend systems. Being able to discuss specific examples of your experience with large-scale datasets will impress the interviewers.
✨Showcase Your Cloud Skills
Since the role involves deploying services in AWS or GCP, be prepared to talk about your experience with these platforms. Have a couple of projects in mind where you've optimised performance or managed cloud infrastructure. This will demonstrate your hands-on expertise and problem-solving abilities.
✨API Design is Key
Familiarise yourself with API design principles, especially in the context of biological data and workflows. Be ready to discuss how you've designed or built APIs in the past, and think about how you would approach this in the new role. Highlighting your understanding of tenant-aware access control will also be beneficial.
✨Prepare for Technical Challenges
Expect technical questions that test your knowledge of PostgreSQL systems and debugging infrastructure. Brush up on performance optimisation techniques and be ready to solve problems on the spot. Practising coding challenges related to backend systems can help you feel more confident during the interview.
