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- Tasks: Build and scale an AI-driven platform for drug discovery using Python.
- Company: Mission-driven startup at the forefront of life sciences and AI.
- Benefits: Competitive salary, equity, hybrid work, and learning opportunities.
- Why this job: Make a real impact in drug development while shaping the tech culture.
- Qualifications: Strong Python skills and 4+ years of software development experience.
- Other info: Join a dynamic team with a focus on innovation and growth.
The predicted salary is between 60000 - 84000 £ per year.
Hiring: Software Engineer (Founding Team) | AI-Driven Life Sciences Startup
£70,000 - £95,000 + equity
Location: London, Hybrid (3 days in the office)
Unfortunately, they can’t sponsor visas.
We’re partnering with a VC-backed, early-stage, mission-driven startup that’s building an AI-enabled toxicology platform to help scientists move medicines from discovery to patients faster and more safely. Operating at the intersection of software engineering and life sciences, they’re tackling some of the hardest problems in drug development with elegant, scalable technology.
As an early engineering hire, you’ll have a genuine opportunity to shape both the technical foundation and engineering culture of a platform used by scientists around the world.
The role: You’ll join as a Software Engineer, helping build and scale a platform that processes and analyses millions of biological data points. Working closely with scientists and fellow engineers, you’ll translate complex, often ambiguous scientific questions into robust production software. This is a hands-on role with real ownership and long-term impact.
What you’ll be working on:
- Building clean, maintainable Python applications that scale with large biological datasets
- Designing and maintaining data pipelines that ingest, transform, and score scientific and clinical data
- Collaborating with scientists to turn research problems into usable software tools
- Shaping platform architecture to support rapid growth and experimentation
- Setting high standards for code quality through reviews, discussions, and best practices
You’ll thrive if you:
- Have strong Python experience and care deeply about clean, well-tested code
- Have 4+ years of professional software development experience
- Enjoy working in early-stage environments where your decisions really matter
- Are curious, adaptable, and excited to learn about life sciences and AI
Nice to have:
- Background in biomedical, bioinformatics, or healthcare domains
- Experience working with scientific or clinical datasets
Why this role: This is a rare chance to work on 0→1 technical challenges in a company combining deep science, AI, and real-world impact. You’ll help shape a platform that directly supports drug discovery, while growing alongside a thoughtful, mission-driven team — with equity, autonomy, and protected time for learning built in.
Software Engineer in London employer: Aura Talent
Contact Detail:
Aura Talent Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineer 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 Python and data pipelines. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for technical interviews by practicing coding challenges and system design questions. Use platforms like LeetCode or HackerRank to sharpen your skills and get comfortable with the types of problems you might face.
✨Tip Number 4
Apply through our website! We’re always looking for passionate individuals who want to make a difference. Tailor your application to highlight your experience in software development and your interest in life sciences to stand out.
We think you need these skills to ace Software Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Software Engineer role. Highlight your Python expertise and any relevant projects you've worked on, especially those involving data processing or collaboration with scientists.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're excited about this opportunity. Share your passion for life sciences and AI, and explain how your background makes you a great fit for our mission-driven team.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex problems in previous roles. We want to see your thought process and how you approach challenges, especially in early-stage environments.
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 don’t miss out on any important updates during the hiring process.
How to prepare for a job interview at Aura Talent
✨Know Your Tech Stack
Make sure you’re well-versed in Python and any other technologies mentioned in the job description. Brush up on your coding skills and be ready to discuss your past projects, especially those that involved large datasets or scientific applications.
✨Understand the Company’s Mission
Research the startup's mission and how they use AI in life sciences. Be prepared to discuss how your skills can contribute to their goals, particularly in drug development and data analysis. Showing genuine interest in their work will set you apart.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving abilities and coding skills. Practice coding challenges related to data processing and algorithms, as these are likely to come up. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Show Your Collaborative Spirit
Since the role involves working closely with scientists and engineers, be ready to share examples of how you’ve successfully collaborated in the past. Highlight your adaptability and willingness to learn from others, as this is crucial in a startup environment.
