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- Tasks: Develop and scale ML systems for innovative drug discovery.
- Company: Leading biotech company in Greater London with a focus on innovation.
- Benefits: Competitive salary, health benefits, and opportunities for professional growth.
- Why this job: Make a real impact in patient care using cutting-edge technologies.
- Qualifications: Strong background in computer science or engineering with ML knowledge.
- Other info: Collaborative environment tackling complex data challenges.
The predicted salary is between 36000 - 60000 £ per year.
A leading biotech company in Greater London is seeking a Research Engineer to join their machine learning group. This role focuses on developing and scaling ML systems to support innovative drug discovery. You will collaborate with a variety of teams and tackle complex data challenges, leveraging cutting-edge technologies.
The ideal candidate has a strong background in computer science or engineering, with a solid understanding of ML and software engineering practices. Join us to make a tangible difference in patient care.
Biotech ML Research Engineer — Drug Discovery in London employer: Relation Therapeutics Limited
Contact Detail:
Relation Therapeutics Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Biotech ML Research Engineer — Drug Discovery in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and ML fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your passion for drug discovery.
✨Tip Number 2
Prepare for those interviews! Brush up on your ML concepts and be ready to discuss how you've tackled complex data challenges in the past. We recommend practising with mock interviews to boost your confidence.
✨Tip Number 3
Showcase your projects! If you’ve worked on any ML systems or drug discovery projects, make sure to highlight them in your conversations. We love seeing real-world applications of your skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in joining our team and making a difference in patient care.
We think you need these skills to ace Biotech ML Research Engineer — Drug Discovery in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in machine learning and software engineering. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or technologies you've worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about drug discovery and how your background makes you a great fit for our team. Let us know what excites you about the role and the impact you hope to make.
Showcase Your Problem-Solving Skills: In this role, you'll tackle complex data challenges, so be sure to include examples of how you've approached similar problems in the past. We love seeing your thought process and how you’ve used ML to drive results.
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 Relation Therapeutics Limited
✨Know Your ML Fundamentals
Brush up on your machine learning concepts, especially those relevant to drug discovery. Be prepared to discuss algorithms, data preprocessing techniques, and how you’ve applied them in past projects.
✨Showcase Your Collaboration Skills
Since this role involves working with various teams, think of examples where you've successfully collaborated on complex projects. Highlight your communication skills and how you can bridge gaps between technical and non-technical team members.
✨Prepare for Technical Challenges
Expect to face some technical questions or challenges during the interview. Practice coding problems related to ML and be ready to explain your thought process clearly. Use platforms like LeetCode or HackerRank to sharpen your skills.
✨Demonstrate Your Passion for Drug Discovery
Research the company’s recent projects and breakthroughs in drug discovery. Be ready to discuss how your background and interests align with their mission, showing that you’re genuinely excited about making a difference in patient care.
