At a Glance
- Tasks: Develop and scale software for groundbreaking biotechnology projects that impact health and sustainability.
- Company: Join a leading biotech startup known for innovation and scientific excellence.
- Benefits: Enjoy competitive pay, health insurance, generous leave, and hybrid work options.
- Other info: Be part of an interdisciplinary team that values diverse backgrounds and continuous learning.
- Why this job: Make a real difference by enabling proteins for therapies and sustainability through your code.
- Qualifications: Experience in full-stack systems and a passion for biotech and collaboration.
The predicted salary is between 63000 - 77000 £ per year.
Senior Full Stack Engineer | Biotechnology | Protein | Python | Typescript | React | London, Hybrid
A leading Biotechnology startup are making biology programmable so we can transform health and sustainability.
Their team co-developed Alpha Fold, invented latent diffusion, and built high-throughput protein platforms.
You will own the software that turns frontier generative models into reliable, production systems scientists and partners actually use—so designed proteins reach the wet lab faster and work in the real world.
- Performance Objectives
- Ship production-grade APIs, services, and UIs that serve proprietary generative models with high reliability, so protein designers and partners can run inference against biological targets within weeks of joining.
- Build and scale data pipelines that ingest wet-lab results, construct training/eval splits, and feed experimental outcomes back into models, measurably lifting design success rates across campaign rounds.
- Own end-to-end features from prototype to production: robust, tested, reviewed code that runs training and inference on cloud accelerators and stays maintainable in a shared research-engineering codebase.
- Design informative benchmarks and observability so model performance, latency, and cost are visible to ML scientists, biologists, and leadership.
- Partner with ML researchers, protein designers, and biologists to translate lab constraints into software, closing the loop between generation and experimental validation.
- Raise engineering standards (CI, reviews, infra) so a small interdisciplinary team can move urgently without sacrificing scientific rigor.
You join a 30 person, for-profit team across San Francisco and London (hybrid, offsites for trust).
You report into engineering/platform, work in a joint codebase with ML scientists and protein designers, and use cloud accelerators, modern version control, and lab data systems.
Competitive pay, health insurance, pension/401(k), generous leave (including parental), and travel.
Essential Qualifications
- Proven delivery of production full-stack systems (APIs, data pipelines, frontends) that other teams depend on, with ownership from conception to completion.
- Strong software craft: robust, tested, reviewed code; fast prototyping that also meets production quality; cloud training/inference and distributed data/models.
- Experience building performant ML-adjacent data pipelines and serving large models.
- Ability to thrive in a fast, ambiguous biotech environment and collaborate across ML, biology, and product.
- Mission-driven curiosity: you care about patients and the planet and will learn enough protein/cell biology to make software decisions that matter in the lab.
- Role Selling Points
- Work with people who built Alpha Fold and latent diffusion on a moonshot to program biology.
- Your code directly enables proteins that are tested in wet lab and, ultimately, therapies and sustainability applications.
- Interdisciplinary culture, scientific excellence, and the chance to shape a young company’s platform as we grow.
- Hybrid work, competitive package, and a team that values diverse backgrounds and continuous learning.
Senior Full Stack Engineer | Biotechnology | Protein | Python | Typescript | React | London, Hybrid
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Senior Full Stack Engineer | Biotechnology | Protein | Python | Typescript | React | London, Hybrid employer: Enigma
Enigma is an exceptional employer that fosters a dynamic and innovative work culture in the heart of London. With a strong focus on employee growth, we offer opportunities for professional development and hands-on leadership in cutting-edge AI technologies. Our commitment to creating explainable AI solutions in healthcare not only drives meaningful impact but also ensures that our team members are at the forefront of technological advancements in a supportive and collaborative environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full Stack Engineer | Biotechnology | Protein | Python | Typescript | React | London, Hybrid
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Enigma or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Enigma.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Enigma.
✨Explore Job Boards Specifically for Tech Roles
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We think you need these skills to ace Senior Full Stack Engineer | Biotechnology | Protein | Python | Typescript | React | London, Hybrid
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Enigma.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Enigma and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Enigma
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Enigma uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.