Senior Backend Engineer

BactoBio
London
2 months ago
Applications closed

Related Jobs

View all jobs

Senior Backend Engineer - JVM, Kotlin

Python Developer

Senior Engineering Manager

Senior Data Engineer

Senior AI Engineer

BackEnd Developer - Abu Dhabi - 12 months - Relocation package

Job Description

Software is critical to our scientific endeavours. You’ll join the growing software team that builds and enhances the application and infrastructure used by our scientists to accelerate their search for novel compounds.

The application gives the lab scientists a holistic view of the scientific pipeline, ensuring that data is captured, processed and visualized in a way that optimises the flow of scientific samples from team to team.

What you will do

You will work closely with dozens of world-class lab scientists, bioinformaticians, data scientists, and robot automation engineers, turning their requirements for research functionality into user-friendly features.

Lead and collaborate with our team to deliver reliable, tested, typed, clean Python code to improve our application and model our scientific domain in code

You will be working alongside subject-matter experts including bioinformaticians and data scientists to ensure that our backend aligns with business priorities

Optimising the infrastructure that we run our application & scientific pipelines on

You will advise on current trends and best practices in backend architecture (performance, accessibility, security and usability), giving input on the architecture of new and existing projects

Our stack is Python 3, SQLAlchemy, FastAPI, RQ, MySQL with a frontend in Remix, React, TypeScript, CSS Modules with OpenAPI-based API client generation for TypeScript.

We emphasize code quality, employing reviews on top of static analysis tools (pyright, ruff, ruff format) with plenty of tests in place to maintain a high-quality codebase.

Benefits

Competitive starting salary The chance to be part of a fun, multicultural, kind, and ambitious crowd that are impact-driven Daily access to academic leaders, business leaders, and unicorn founders Brand new, modern labs in Central London with dedicated office space, large balconies and 360’ views of the London skyline 25 days holiday + bank holidays Enhanced Sick Pay Flexible start and finish times within the company’s core hours to fit your preferences (within core hours 10am -4pm) Diverse team of colleagues (check out our website to meet us) Weekly team activities including board games, sports activities, and socials on Fridays Complimentary snacks, fruits, tea, coffee, soft drinks,... Access to 1000s of training courses through Udemy, with an allowance for both personal development and work-related training Bike2Work scheme Employee Assistance Programme offering structured counselling, life and career coaching, legal and financial advise

Restrictions

No telecommutingNo Agencies Please

Requirements

We would love you to have experience with some of the tools we use, but it's not a requirement. Instead, we're eager for you to desire to learn and develop yourself. So, at a minimum, we would be looking for you to demonstrate proven experience working in a modern tech stack using Python and, ideally, SQLAlchemy or Django.

If you are passionate about delivering code, and you love solving complex problems and working in a team with a strong sense of mission is something you crave, then we would love to talk to you.

About the Company

Bactobio is a London-based biotechnology company.We were founded in 2020 and have raised over £6m todate. We use breakthrough technologies in synthetic biology, next-generation sequencing, and machine learning to cultivate the 99% of previously unculturable microbes. These microbes constitute the biggest bioresource in life, and our exclusive access allows us to discover novel chemicals that can be applied across a variety of markets.

We are impact-driven. Our first goal is to solve the growing antimicrobial resistance crisis through novel antibiotics and stabilise global food security through novel natural biodegradable fungicides.

We prioritize in-office work for fostering collaboration, with most of our computational team in our Vauxhall office 4 days a week. We're flexible when it matters, but this role is not suitable for someone seeking a fully remote position.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

10 Ways AI Pros Stay Inspired: Boost Creativity with Side Projects, Hackathons & More

In the rapidly evolving world of Artificial Intelligence (AI), creativity and innovation are critical. AI professionals—whether data scientists, machine learning engineers, or research scientists—must constantly rejuvenate their thinking to solve complex challenges. But how exactly do these experts stay energised and creative in their work? The answer often lies in a combination of strategic habits, side projects, hackathons, Kaggle competitions, reading the latest research, and consciously stepping out of comfort zones. This article will explore why these activities are so valuable, as well as provide actionable tips for anyone looking to spark new ideas and enrich their AI career. Below, we’ll delve into tried-and-tested strategies that AI pros employ to drive innovation, foster creativity, and maintain an inspired outlook in an industry that can be both exhilarating and daunting. Whether you’re just starting your AI journey or you’re an experienced professional aiming to sharpen your skills, these insights will help you break out of ruts, discover fresh perspectives, and bring your boldest ideas to life.

Top 10 AI Career Myths Debunked: Key Facts for Aspiring Professionals

Artificial Intelligence (AI) is one of the most dynamic and rapidly growing sectors in technology today. The lure of AI-related roles continues to draw a diverse range of job seekers—from seasoned software engineers to recent graduates in fields such as mathematics, physics, or data science. Yet, despite AI’s growing prominence and accessibility, there remains a dizzying array of myths surrounding careers in this field. From ideas about requiring near-superhuman technical prowess to assumptions that machines themselves will replace these jobs, the stories we hear sometimes do more harm than good. In reality, the AI job market offers far more opportunities than the alarmist headlines and misconceptions might suggest. Here at ArtificialIntelligenceJobs.co.uk, we witness firsthand the myriad roles, backgrounds, and success stories that drive the industry forward. In this blog post, we aim to separate fact from fiction—taking the most pervasive myths about AI careers and debunking them with clear, evidence-based insights. Whether you are an established professional considering a career pivot into data science, or a student uncertain about whether AI is the right path, this article will help you gain a realistic perspective on what AI careers entail. Let’s uncover the truth behind the most common myths and discover the actual opportunities and realities you can expect in this vibrant sector.

Global vs. Local: Comparing the UK AI Job Market to International Landscapes

How to navigate salaries, opportunities, and work culture in AI across the UK, the US, Europe, and Asia Artificial Intelligence (AI) has evolved from a niche field of research to an integral component of modern industries—powering everything from chatbots and driverless cars to sophisticated data analytics in finance and healthcare. The job market for AI professionals is consequently booming, with thousands of new positions posted each month worldwide. In this blog post, we will explore how the UK’s AI job market compares to that of the United States, Europe, and Asia, delving into differences in job demand, salaries, and workplace culture. Additionally, we will provide insights for candidates considering remote or international opportunities. Whether you are a freshly qualified graduate in data science, an experienced machine learning engineer, or a professional from a parallel domain looking to transition into AI, understanding the global vs. local landscape can help you make an informed decision about your career trajectory. As the demand for artificial intelligence skills grows—and borders become more porous with hybrid and remote work—the possibilities for ambitious job-seekers are expanding exponentially. This article will offer a comprehensive look at the various regional markets, exploring how the UK fares in comparison to other major AI hubs. We’ll also suggest factors to consider when choosing where in the world to work, whether physically or remotely. By the end, you’ll have a clearer picture of the AI employment landscape, and you’ll be better prepared to carve out your own path.