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- Tasks: Join a team to develop AI-driven software for drug discovery and biological research.
- Company: Fast-growing European tech company at the forefront of AI and drug discovery.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Why this job: Make a real impact in healthcare by transforming biological research with cutting-edge technology.
- Qualifications: 2+ years in software development, strong Python skills, and experience with modern web technologies.
- Other info: Dynamic, founder-led team with a focus on innovation and collaboration.
The predicted salary is between 60000 - 80000 £ per year.
A fast-growing European technology company working at the intersection of AI and drug discovery is looking for a Full Stack Developer to join their engineering team. The organisation is building next-generation software platforms that enable pharmaceutical and biotechnology companies to run large-scale in-silico biological experiments, dramatically accelerating research that traditionally relies on physical wet labs.
This is an opportunity to work within a high-calibre, founder-led team developing tools that combine machine learning, data infrastructure, and modern web technologies to transform how biological research is conducted. You’ll play a key role in building scalable applications used by scientists and engineers working on cutting-edge drug discovery programmes.
The Role
You will contribute to the development of a full-stack platform that enables scientists to run and analyse complex biological simulations and experiments. Responsibilities include:
- Building and maintaining backend services in Python, including APIs and data-processing pipelines
- Developing frontend applications using Next.js and React
- Designing and implementing FastAPI endpoints for data-intensive applications
- Writing robust tests using pytest and managing CI workflows via GitHub Actions
- Collaborating with engineers and researchers to deliver features end-to-end
- Writing clean, maintainable and well-tested production code
- Contributing to architecture and infrastructure decisions as the platform scales
Requirements
- 2+ years professional experience as a software developer
- Strong proficiency in Python for backend development
- Experience building APIs and production services
- Experience developing modern frontend applications using Next.js and React
- Solid understanding of REST APIs and client–server architecture
- Experience with testing frameworks (pytest) and CI/CD pipelines
- Familiarity with TypeScript, CSS frameworks and component-based UI design
- Experience with Git and collaborative development workflows
- Ability to work in a fast-paced environment and take ownership of features
Nice to Have
- Development & Infrastructure
- Experience with Docker and containerised deployments
- Familiarity with AWS services (S3, EC2, ECR, Cognito)
- Experience working with JupyterHub, JupyterLab or Airflow APIs
- Experience building developer platforms or internal tooling
- Knowledge of SQL and/or NoSQL databases
- Exposure to ML/AI workflows or data science tooling
- Experience with MLflow or model tracking systems
- Scientific / Data Applications
- Experience working with scientific or bioinformatics datasets
- Exposure to single-cell RNA-seq, DNA/RNA sequences, AnnData or other omics data
Full-Stack Engineer for AI-Driven Drug Discovery Platform in London employer: BioTalent
Contact Detail:
BioTalent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Full-Stack Engineer for AI-Driven Drug Discovery Platform in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues 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 AI and drug discovery. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding the latest trends in full-stack development. Practice common algorithms and system design questions to impress your interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Tailor your application to highlight your relevant experience and passion for AI-driven solutions in drug discovery.
We think you need these skills to ace Full-Stack Engineer for AI-Driven Drug Discovery Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, Next.js, and React. We want to see how your skills align with our needs, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about working at the intersection of AI and drug discovery. Share your passion for building scalable applications and how you can contribute to our mission.
Showcase Your Projects: If you've worked on any cool projects, especially those involving APIs or data processing, make sure to mention them. We love seeing practical examples of your work, so include links to your GitHub or portfolio if you have them!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at BioTalent
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, Next.js, and React. Brush up on your knowledge of REST APIs and CI/CD pipelines, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Be prepared to discuss specific challenges you've faced in previous projects and how you overcame them. This role involves building scalable applications, so demonstrating your ability to tackle complex problems will impress the interviewers.
✨Prepare for Collaborative Questions
Since this position requires working closely with engineers and researchers, think about examples that highlight your teamwork skills. Be ready to explain how you’ve contributed to collaborative projects and how you handle feedback and differing opinions.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company’s mission and technology. Inquire about their current projects or future goals in AI-driven drug discovery to demonstrate your enthusiasm and engagement.