Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Develop generative AI models to revolutionise drug discovery.
- Company: Innovative biotech startup with a focus on collaboration.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Join a team tackling challenging problems in the exciting field of AI and healthcare.
- Qualifications: Masters or PhD in an AI-related field and experience with neural networks.
- Other info: Diverse and dynamic environment with a strong emphasis on teamwork.
The predicted salary is between 36000 - 60000 £ per year.
An innovative biotech startup is seeking a motivated Research Engineer in London. The role involves working on generative AI models aimed at transforming drug discovery. Candidates should have a Masters or PhD in an AI-related field and experience in building neural networks. Collaboration is key as the team works to solve difficult problems together. The position operates in a hybrid model, encouraging applications from diverse backgrounds.
Remote Research Engineer — AI for Drug Discovery employer: Xaira
Contact Detail:
Xaira Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Research Engineer — AI for Drug Discovery
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and AI 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
Show off your skills! Create a portfolio showcasing your projects, especially those involving generative AI and neural networks. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and problem-solving skills. Practice explaining complex concepts in simple terms, as collaboration is key in this role.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing candidates who are genuinely interested in joining our innovative team. Make sure to highlight your unique background and experiences that align with our mission.
We think you need these skills to ace Remote Research Engineer — AI for Drug Discovery
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and neural networks. We want to see how your background aligns with the role, so don’t be shy about showcasing your skills!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI for drug discovery and how you can contribute to our innovative team. Keep it engaging and personal.
Showcase Collaboration Skills: Since collaboration is key for us, mention any past experiences where you worked in a team to solve complex problems. We love seeing how you can bring people together to achieve great 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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Xaira
✨Know Your AI Inside Out
Make sure you brush up on your knowledge of generative AI models and neural networks. Be ready to discuss specific projects you've worked on, the challenges you faced, and how you overcame them. This will show your technical expertise and passion for the field.
✨Showcase Your Collaboration Skills
Since collaboration is key in this role, prepare examples of how you've successfully worked in teams. Think about times when you contributed to a group project or helped solve a problem collectively. Highlighting your teamwork will resonate well with the interviewers.
✨Research the Company’s Vision
Dive into the biotech startup's mission and recent developments in drug discovery. Understanding their goals and how your skills can contribute will demonstrate your genuine interest in the position and help you align your answers with their vision.
✨Prepare Thoughtful Questions
At the end of the interview, you'll likely have the chance to ask questions. Prepare insightful ones that reflect your understanding of the role and the company. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
