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- Tasks: Develop innovative algorithms for AI-driven drug design and tackle real-world challenges.
- Company: Exciting biotechnology startup in London with a focus on cutting-edge solutions.
- Benefits: Competitive salary, medical insurance, pension scheme, and growth opportunities.
- Why this job: Join a high-performing team and make a real impact in drug discovery.
- Qualifications: Expertise in Structure-Based Drug Design and proficiency in Python.
The predicted salary is between 60000 - 90000 £ per year.
A biotechnology startup in London is seeking an experienced research engineer to develop cutting-edge algorithms for drug design. You will collaborate with a high-performing team, working on innovative solutions for real-world challenges in drug discovery, and have substantial growth opportunities.
The role requires expertise in Structure-Based Drug Design and proficiency in Python. Salary ranges from £60k to £90k, with additional benefits including medical insurance and a pension scheme.
Research Engineer: AI-Driven Drug Design & ML in London employer: deepmirror
Contact Detail:
deepmirror Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Engineer: AI-Driven Drug Design & ML in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the biotech and AI fields on LinkedIn. Join relevant groups and engage in discussions to get your name out there and show off your passion for drug design.
✨Tip Number 2
Showcase your skills! Create a portfolio of your projects, especially those involving Structure-Based Drug Design and Python. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to AI and drug design. We recommend doing mock interviews with friends or using online platforms to build your confidence and refine your answers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Research Engineer: AI-Driven Drug Design & ML in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in Structure-Based Drug Design and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven drug design and how you can contribute to our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Problem-Solving Skills: In the biotech world, problem-solving is key. When detailing your past experiences, focus on specific challenges you faced and how you tackled them. We’re looking for innovative thinkers who can bring fresh ideas to the table!
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. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at deepmirror
✨Know Your Algorithms
Make sure you brush up on the latest algorithms in drug design, especially those related to Structure-Based Drug Design. Be ready to discuss how you've applied these in past projects and how they can be adapted for innovative solutions.
✨Showcase Your Python Skills
Since proficiency in Python is a must, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice coding challenges that relate to AI and machine learning applications in drug discovery.
✨Collaborative Mindset
This role involves working with a high-performing team, so highlight your experience in collaborative projects. Share examples of how you've successfully worked with others to tackle complex challenges in research or development.
✨Growth-Oriented Attitude
The company offers substantial growth opportunities, so express your enthusiasm for learning and professional development. Discuss any relevant courses or certifications you’re pursuing or plan to pursue that align with the role.
