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 innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Join a dynamic team dedicated to advancing biological research.
- Why this job: Make a real impact in healthcare by working with groundbreaking technology.
- 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.
Senior Engineer, Data Engineering employer: Hlx Life Sciences
As a pioneering frontier biology AI lab, we offer an exceptional work environment that fosters innovation and collaboration at the intersection of AI and experimental biology. Our commitment to employee growth is evident through our focus on meaningful projects that have real-world impact, alongside a supportive culture that encourages continuous learning and development. Located in a vibrant area, we provide unique opportunities to engage with cutting-edge technology while contributing to groundbreaking research aimed at enhancing brain health.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to data engineering and cloud systems. This will give potential employers a taste of what you can do and how you can contribute to their team.
✨Tip Number 3
Prepare for interviews by brushing up on relevant technologies like PostgreSQL, AWS, and API design. Practice common interview questions and be ready to discuss your past experiences in detail—this is your chance to shine!
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in our mission. Tailor your application to highlight how your skills align with our focus on AI and biological research.
We think you need these skills to ace Senior Engineer, Data Engineering
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’re all about making a real impact in research and clinical settings.
Tailor Your Experience to the Role:Make sure to align your skills and experiences with the specific requirements of the Senior Engineer position. Highlight your expertise in backend systems, cloud infrastructure, and data management, so we can see how you’ll fit into our team seamlessly.
Be Clear and Concise:We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to digest your qualifications and experiences quickly.
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Hlx Life Sciences
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially PostgreSQL and cloud services like AWS or GCP. Brush up on your knowledge of APIs and data models, as you’ll likely be asked to discuss how you’ve implemented these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly those related to large-scale datasets and reproducible research workflows. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your contributions.
✨Demonstrate Your Passion for Biology and AI
Since this role is at the intersection of AI and biology, it’s crucial to express your enthusiasm for both fields. Share any relevant experiences or projects that showcase your interest in neurological diseases or experimental biology, and how you see technology playing a role in these areas.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current projects, team dynamics, and future goals. This not only shows your genuine interest but also helps you assess if the company aligns with your career aspirations. Consider asking about their approach to monitoring and debugging infrastructure, as it’s a key part of the role.
