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- Tasks: Join our team to develop cutting-edge methods for drug discovery using quantum machine learning.
- Company: Rahko is a dynamic startup revolutionising drug discovery with quantum and machine learning technologies.
- Benefits: Enjoy flexible working in London, competitive salary, and the chance to work with top scientists.
- 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 all candidates to apply, regardless of their background.
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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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
Familiarise yourself with the latest advancements in quantum machine learning and drug discovery. This will not only help you understand Rahko's work better but also allow you to engage in meaningful conversations during interviews.
✨Tip Number 2
Network with professionals in the field by attending relevant conferences or webinars. Connecting with industry experts can provide insights into the company culture and may even lead to referrals.
✨Tip Number 3
Showcase your passion for innovation in drug discovery by discussing any personal projects or research you've undertaken. This demonstrates your initiative and commitment to the field, which is highly valued at startups like Rahko.
✨Tip Number 4
Prepare to discuss how your unique background and experiences can contribute to Rahko's mission. Highlighting your diverse skill set and perspective can set you apart from other candidates.
We think you need these skills to ace Research Scientist (Drug discovery and machine learning)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in drug discovery, machine learning, and any specific projects that align with Rahko's focus. Use keywords from the job description to demonstrate your fit for the role.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for quantum machine learning and drug discovery. Mention why you want to work at Rahko and how you can contribute to their mission.
Showcase Relevant Projects: If you have worked on projects related to computer-aided drug design or advanced machine learning methods, be sure to include these in your application. Provide details about your role and the impact of your work.
Highlight Your Soft Skills: In addition to technical skills, Rahko values collaboration and diversity. Mention experiences that showcase your ability to work in diverse teams and adapt to fast-paced environments, as this aligns with their company culture.
How to prepare for a job interview at Recooty
✨Showcase Your Technical Skills
Make sure to highlight your experience in computer-aided drug design and machine learning during the interview. Be prepared to discuss specific projects or challenges you've faced, and how you applied your skills to overcome them.
✨Demonstrate Your Passion for Drug Discovery
Express your enthusiasm for the field of drug discovery and how it aligns with your career goals. Research Rahko's work and be ready to discuss how your background can contribute to their innovative projects.
✨Prepare for Technical Questions
Expect to face technical questions related to quantum machine learning and computational chemistry. Brush up on relevant concepts and be ready to explain complex ideas clearly and concisely.
✨Emphasise Your Collaborative Spirit
Rahko values teamwork, so be sure to share examples of how you've successfully collaborated with others in past roles. Highlight your ability to work closely with scientists and engineers to achieve common goals.
