At a Glance
- Tasks: Own and evolve AI-driven biotech platform infrastructure across cloud, data systems, and product deployment.
- Company: Innovative biotech firm at the forefront of AI research and development.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic role with full-stack ownership and no rigid corporate constraints.
- Why this job: Lead the evolution of cutting-edge technology that impacts scientific discovery.
- Qualifications: 5+ years in software engineering with expertise in cloud platforms and distributed systems.
The predicted salary is between 70000 - 90000 £ per year.
AI-driven biotech research platform. 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.
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.
Required Skills:
- AWS
- Backend Development
- Frontend Development
- Machine Learning
- Python
- CI/CD
- Docker
- Distributed Systems
- Terraform
- React
- GCP
- Cloud Infrastructure
- Data Pipelines
- APIs
Required Languages: English
Staff Engineer - AI Biotech Platform, Cloud & Data Systems employer: Jack & Jill
As a Staff Engineer at our AI-driven biotech platform, you will thrive in a dynamic work culture that champions innovation and collaboration. With opportunities for full-stack ownership and the chance to lead the evolution of cutting-edge technology, you will be part of a team that values your expertise and encourages professional growth. Located in vibrant Cambridge or London, you will enjoy a stimulating environment that fosters creativity and offers unique advantages in the biotech sector.
StudySmarter Expert Advice🤫
We think this is how you could land Staff Engineer - AI Biotech Platform, Cloud & Data Systems
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to cloud infrastructure and data systems. It’s a great way to demonstrate your expertise beyond the application.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice explaining complex concepts simply, as you’ll need to bridge the gap between tech and science in this role.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining us at StudySmarter. Plus, it makes tracking your application easier!
We think you need these skills to ace Staff Engineer - AI Biotech Platform, Cloud & Data Systems
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with cloud infrastructure, data systems, and any relevant projects you've worked on. We want to see how you can own and evolve technical infrastructure!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about this role and how your background makes you a perfect fit. Don’t forget to mention your experience with AWS, Python, and any other key skills we’re looking for.
Showcase Your Projects:If you've worked on any relevant projects, whether personal or professional, make sure to include them in your application. We love seeing practical examples of your work, especially if they involve building APIs or working with machine learning!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining the StudySmarter team!
How to prepare for a job interview at Jack & Jill
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially AWS, Python, and Docker. Brush up on your knowledge of cloud infrastructure and data pipelines, as you’ll likely be asked to discuss how you’ve used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in previous roles, particularly around migrating legacy systems or designing database architectures. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your impact.
✨Demonstrate Your Full-Stack Understanding
Since this role involves both backend and frontend development, be ready to talk about your experience with APIs and React. Consider preparing a mini-project or example that showcases your ability to bridge the gap between internal tools and external products.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to AI in biotech, their current challenges, and how they envision the evolution of their platform. This shows your genuine interest and helps you assess if it’s the right fit for you.
