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- Tasks: Own and evolve technical infrastructure for cutting-edge biotech research.
- Company: AI-driven biotech platform revolutionising scientific discovery.
- Benefits: Competitive salary, flexible work options, and growth opportunities.
- Why this job: Lead impactful projects and shape the future of biotech innovation.
- Qualifications: 5+ years in software engineering with cloud and data systems expertise.
- Other info: Dynamic team environment with a focus on collaboration and creativity.
The predicted salary is between 36000 - 60000 £ per year.
Company Description: AI-driven biotech research platform
Job Description: You will own and evolve technical infrastructure across cloud operations, data systems, and product deployment. As a high-impact generalist, you will architect robust systems and migrate legacy infrastructure to AWS, directly enabling advanced discovery services. This role bridges the gap between internal ML research tools and production-ready APIs for external scientific users.
Location: Cambridge, USA or London, UK
Why this role is remarkable:
- Full-stack ownership across backend services, frontend interfaces, and infrastructure automation without rigid corporate constraints.
- Lead the technical evolution of a core inference platform from an internal research tool to a production-ready external product.
- Design greenfield database architectures integrating complex scientific data sources to serve as the foundation for future discovery efforts.
What you will do:
- Manage and scale cloud infrastructure through Terraform across multi-account AWS organizations and automated CI/CD pipelines.
- Design and implement database systems to integrate structured biochemistry data with unstructured experimental data for ML training.
- Build and harden production APIs and React frontends to transition internal models into service-oriented products for external users.
The ideal candidate:
- 5+ years of software engineering experience with the ability to own complex distributed systems and data pipelines end-to-end.
- Proficiency in Python, Docker containerization, and at least one major cloud platform (AWS or GCP).
- High agency systems thinker comfortable working as a pragmatic generalist across infrastructure, backend, and developer tooling.
Staff Engineer at AI-driven biotech research platform in London employer: Jack & Jill/External Ats
Contact Detail:
Jack & Jill/External Ats Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Engineer at AI-driven biotech research platform in London
✨Tip Number 1
Get to know Jack! He’s your first step in this journey. Have a chat with him to share your skills and what you’re looking for. The more he knows, the better he can match you with the right opportunities.
✨Tip Number 2
Don’t just sit back and wait for jobs to come to you. Be proactive! Explore our website regularly for new roles and updates. You never know when the perfect opportunity might pop up!
✨Tip Number 3
Prepare for your chat with Jill! Research the company and the role so you can show off your knowledge and enthusiasm. This will help you stand out as a candidate who’s genuinely interested.
✨Tip Number 4
Follow up after your conversation! A quick thank-you note or message can go a long way. It shows your professionalism and keeps you fresh in Jill's mind as she makes her recommendations.
We think you need these skills to ace Staff Engineer at AI-driven biotech research platform in London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with cloud infrastructure, data systems, and APIs. We want to see how you've tackled complex projects in the past, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your application for this role. Mention specific technologies like Python and AWS that you’ve worked with, and how they relate to the job description. It shows us you’re genuinely interested!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon unless it’s necessary. Make it easy for us to see why you’re a great fit for the Staff Engineer position.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to connect you with Jack and get the ball rolling on your application. Plus, it’s super easy!
How to prepare for a job interview at Jack & Jill/External Ats
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Docker, and AWS. Brush up on your knowledge of cloud infrastructure and data systems, as you’ll likely be asked to discuss your experience with these tools in detail.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex distributed systems or data pipelines. Think about challenges you've faced and how you approached them, as this role requires a high agency systems thinker who can navigate tricky situations.
✨Understand the Company’s Mission
Research the biotech research platform and understand its goals. Be ready to explain how your skills can contribute to their mission of enabling advanced discovery services. This shows that you’re not just looking for any job, but are genuinely interested in their work.
✨Prepare Questions for Them
Have a few insightful questions ready to ask during the interview. This could be about their current projects, team dynamics, or future plans for the platform. It demonstrates your enthusiasm and helps you gauge if the company is the right fit for you.
