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- Tasks: Join our team to develop cutting-edge methods for drug discovery using quantum machine learning.
- Company: Rahko is a fast-growing startup revolutionizing drug discovery with quantum and machine learning technologies.
- Benefits: Enjoy flexible work options, competitive salary, and the chance to work with top scientists in the field.
- Why this job: Be part of an innovative team making a real impact in healthcare and technology.
- Qualifications: PhD or equivalent experience in relevant fields; background in drug design and machine learning required.
- Other info: We celebrate diversity and encourage applicants from all backgrounds to apply.
The predicted salary is between 28800 - 48000 £ per year.
Location : London (Flexible)
Salary : competitive
Position type : full-time
Start date: immediate
Candidates welcomed: all genders, nationalities, backgrounds and orientations
Rahko is a quantum machine learning company focusing on quantum and quantum-inspired algorithms for drug discovery and development.
We are a small and fast-growing startup with huge ambitions and a strong international profile. We work with several of the world’s most innovative pharmaceutical, drug discovery and quantum computing companies, and are advised by several world-leading scientists. Read more about Rahko’s work and team here .
Rahko brings together classical computational methods, more recent machine/deep learning methods and quantum computing to improve the speed and accuracy of quantum chemistry simulations for drug discovery and development.
As a valued member of our team, you will work closely with our expert quantum machine learning and computational chemistry scientists to develop state-of-the-art in silico methods for drug discovery and development.
You will have a PhD (or equivalent industry experience) in medicinal chemistry, computational chemistry, computational biology, machine learning or a related discipline.
You will need:
- Background in computer aided drug design (ideally in an industrial setting)
- Background in machine learning
Ideally, you will also have:
- Experience in molecular simulation, cheminformatics or bioinformatics
- Experience with advanced machine learning methods (generative modelling, graph neural networks)
Not sure if you meet the requirements? We recognise that great candidates come from different backgrounds, and we would love to hear from you even if you don’t think you exactly meet the above requirements.
Rahko is an inclusive employer that celebrates diversity and welcomes candidates of all backgrounds, genders and orientations.
Due to an expected high volume of applications, we will only be able to contact candidates who have been selected to progress. We appreciate your understanding and thank you for your interest in joining our team.
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Research Scientist (Drug discovery and machine learning) employer: Recooty
Contact Detail:
Recooty Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Research Scientist (Drug discovery and machine learning)
✨Tip Number 1
Make sure to showcase your experience in computer-aided drug design during the interview. Be prepared to discuss specific projects where you've applied these skills, as this will demonstrate your practical knowledge and relevance to Rahko's work.
✨Tip Number 2
Familiarize yourself with the latest advancements in quantum machine learning and how they apply to drug discovery. Being able to discuss current trends and innovations in this field will show your passion and commitment to the role.
✨Tip Number 3
Network with professionals in the quantum computing and drug discovery sectors. Attend relevant conferences or webinars to connect with industry experts, which can provide valuable insights and potentially lead to referrals.
✨Tip Number 4
Prepare thoughtful questions about Rahko's projects and future directions. This not only shows your interest in the company but also gives you a chance to engage with the interviewers on a deeper level, making a lasting impression.
We think you need these skills to ace Research Scientist (Drug discovery and machine learning)
Some tips for your application 🫡
Understand the Company: Take some time to research Rahko and its focus on quantum machine learning for drug discovery. Familiarize yourself with their projects and values, as this will help you tailor your application.
Highlight Relevant Experience: Make sure to emphasize your background in computer-aided drug design, machine learning, and any relevant experience in molecular simulation or cheminformatics. Use specific examples to demonstrate your expertise.
Craft a Strong Cover Letter: Write a compelling cover letter that not only outlines your qualifications but also expresses your passion for the field and your interest in working at Rahko. Mention how your skills align with their mission.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail and professionalism.
How to prepare for a job interview at Recooty
✨Showcase Your Technical Skills
Be prepared to discuss your experience with computer-aided drug design and machine learning. Highlight specific projects where you've applied these skills, especially in an industrial setting.
✨Demonstrate Your Knowledge of Quantum Computing
Since Rahko focuses on quantum machine learning, familiarize yourself with the basics of quantum computing and how it relates to drug discovery. This will show your genuine interest in their work.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, as this is crucial in a fast-paced startup environment.
✨Emphasize Your Collaborative Spirit
Rahko values teamwork, so be ready to discuss how you've successfully collaborated with others in past projects. Share examples that highlight your ability to work closely with scientists and engineers.
