At a Glance
- Tasks: Join a dynamic team to develop and scale machine learning systems for groundbreaking biotech research.
- Company: Innovative biotech firm transforming medicine with cutting-edge technology in central London.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth in a collaborative environment.
- Other info: Diverse teams encouraged; excellent career advancement opportunities in a state-of-the-art lab.
- Why this job: Make a real impact on healthcare by working at the forefront of drug discovery and innovation.
- Qualifications: Experience in machine learning, data engineering, and software development is essential.
The predicted salary is between 50000 - 70000 £ per year.
We have partnered with an end-to-end biotech company that is developing transformational medicines, with technology at its core. The company’s ambition is to understand human biology in unprecedented ways, discovering therapies to treat some of life’s most devastating diseases. It leverages single-cell multi-omics directly from patient tissue, functional assays, and machine learning to drive disease understanding—from cause to cure. This year, the company embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing its internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, the partnership underscores the company’s commitment to pioneering science and delivering impactful therapies to patients.
The company is rapidly scaling its technology and discovery teams, creating a unique opportunity to join one of the most innovative TechBio organisations. Based in central London, its state-of-the-art wet and dry laboratories provide an exceptional environment where interdisciplinary collaboration thrives. It is pushing the boundaries of drug discovery and transforming groundbreaking science into impactful therapies for patients. The company believes that innovation flourishes through diversity and collaboration. As an equal opportunities employer, it is committed to building inclusive teams where everyone can contribute their unique perspectives and thrive. Individuals from all backgrounds are encouraged to apply.
The company is seeking a Research Engineer to join its Machine Learning group to drive the development, deployment, and scaling of ML and computational systems across the organisation. This role sits at the intersection of research and engineering, improving research workflows, supporting rapid experimentation, and enabling teams to push the limits of modern ML. The Research Engineer will collaborate with machine learning scientists, data scientists, platform engineers, and other domain experts across the organisation. Depending on priorities, the engineer may work within a specific ML team or operate in a cross-functional capacity. Based at the company’s wet/dry lab and headquarters in central London, the role involves working with large datasets, complex models, and high-performance compute. The engineer will strengthen training and inference pipelines, improve software foundations, and optimise the hybrid on-prem/cloud environment, including dedicated DGX clusters and collaborations with partners like NVIDIA.
Responsibilities
- Work with interdisciplinary teams to solve challenges across data engineering, ML engineering, and software engineering
- Build and improve data processing, transformation, and loading systems to support model training and inference at scale
- Develop and maintain high-quality research and production codebases to enable rapid, reproducible experimentation
- Advance software engineering practices by optimising systems, streamlining pipelines, and improving robustness across workflows
Research Engineer employer: Hlx Life Sciences
Hlx Life Sciences is an exceptional employer located in the vibrant city of Cambridge, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from comprehensive professional development opportunities, competitive compensation, and a commitment to work-life balance, making it an ideal environment for those passionate about advancing drug design and discovery. Join us to be part of a forward-thinking team dedicated to impactful scientific breakthroughs.
StudySmarter Expert Advice🤫
We think this is how you could land Research Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with professionals on LinkedIn. We can’t stress enough how valuable personal connections can be in landing that Research Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to machine learning and data engineering. This gives potential employers a taste of what you can bring to the table, and we love seeing practical examples of your work.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and think about how your experience aligns with the company’s mission. We want you to shine and show them why you’re the perfect fit!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate individuals who want to make a difference in biotech and machine learning.
We think you need these skills to ace Research Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Research Engineer role. Highlight your experience with machine learning, data engineering, and any relevant projects that showcase your skills. We want to see how you can contribute to our innovative TechBio environment!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about the role and how your background aligns with our mission of transforming drug discovery. Let us know what excites you about working in a collaborative, interdisciplinary team.
Showcase Your Projects:If you've worked on any interesting projects, especially those involving ML or data processing, make sure to mention them. We love seeing practical examples of your work and how you've tackled challenges in the past. It helps us understand your problem-solving approach!
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 gives you a chance to explore more about our company and culture!
How to prepare for a job interview at Hlx Life Sciences
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest machine learning techniques and tools relevant to the role. Brush up on your knowledge of single-cell multi-omics, data processing, and high-performance computing. Being able to discuss specific projects or technologies you've worked with will show your passion and expertise.
✨Showcase Your Collaboration Skills
Since the role involves working with interdisciplinary teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any experiences where you’ve worked alongside data scientists, engineers, or researchers to solve complex problems. This will demonstrate your ability to thrive in a diverse environment.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and understanding of ML concepts. Practice coding challenges or system design questions that are relevant to the role. This will help you feel more confident and ready to tackle any technical assessments during the interview.
✨Align with Their Mission
Familiarise yourself with the company’s mission to transform drug discovery and improve patient outcomes. Be ready to discuss how your values align with theirs and how you can contribute to their innovative projects. Showing genuine interest in their work will set you apart from other candidates.
