Machine Learning Engineer for Biomedical Research

Machine Learning Engineer for Biomedical Research

Full-Time 72000 - 88000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and implement machine learning solutions to boost biomedical research.
  • Company: The Francis Crick Institute, a leader in scientific discovery.
  • Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
  • Other info: Join a dynamic team dedicated to advancing healthcare through technology.
  • Why this job: Make a real impact on groundbreaking biomedical research with cutting-edge technology.
  • Qualifications: Experience in machine learning and a passion for scientific innovation.

The predicted salary is between 72000 - 88000 £ per year.

The Francis Crick Institute in the United Kingdom is recruiting a knowledgeable Machine Learning Engineer to join the Software Engineering and AI team. You will design, implement and deploy ML solutions to accelerate scientific discovery, while supporting institute-wide applications and services.

Working closely with researchers and technical specialists, you will contribute to developing innovative software, maintain reproducible workflows, and help advance world-leading biomedical research.

Machine Learning Engineer for Biomedical Research employer: The Francis Crick Institute

The Francis Crick Institute is an exceptional employer, offering a collaborative and innovative work culture that fosters professional growth and development. With a focus on high-quality research and compliance, employees benefit from working alongside leading experts in the field, while enjoying a supportive environment that values diversity and inclusion. Located in the heart of London, the institute provides unique opportunities to contribute to groundbreaking clinical studies that make a real difference in healthcare.

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Contact Details:

The Francis Crick Institute Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Machine Learning Engineer for Biomedical Research

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 The Francis Crick Institute 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 The Francis Crick Institute.

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 The Francis Crick Institute.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like The Francis Crick Institute that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace Machine Learning Engineer for Biomedical Research

Machine Learning
Software Engineering
ML Solutions Design
Implementation of ML Solutions
Deployment of ML Solutions
Collaboration with Researchers
Reproducible Workflows

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 The Francis Crick Institute.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at The Francis Crick Institute 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 The Francis Crick Institute

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 The Francis Crick Institute 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.