Research Scientist (Drug discovery and machine learning)
Research Scientist (Drug discovery and machine learning)

Research Scientist (Drug discovery and machine learning)

London Full-Time 28800 - 48000 £ / year (est.) Home office (partial)
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At a Glance

  • 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 like medicinal chemistry or 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:

  1. Background in computer aided drug design (ideally in an industrial setting)
  2. Background in machine learning

Ideally, you will also have:

  1. Experience in molecular simulation, cheminformatics or bioinformatics
  2. 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 of computational chemistry and machine learning. Attend relevant conferences or webinars, and connect with people on platforms like LinkedIn to increase your visibility and learn about potential opportunities.

✨Tip Number 3

Showcase any relevant projects or research you've done in your field. Whether it's through a personal website or a GitHub repository, having tangible examples of your work can set you apart from other candidates.

✨Tip Number 4

Prepare to discuss how your background in computer-aided drug design and machine learning can contribute to Rahko's goals. Tailor your talking points to align with their mission and demonstrate your enthusiasm for their innovative approach.

We think you need these skills to ace Research Scientist (Drug discovery and machine learning)

PhD in medicinal chemistry, computational chemistry, computational biology, machine learning or related discipline
Computer Aided Drug Design (CADD)
Machine Learning Techniques
Molecular Simulation
Cheminformatics
Bioinformatics
Generative Modelling
Graph Neural Networks
Quantum Computing Knowledge
Data Analysis
Programming Skills (Python, R, etc.)
Collaboration and Teamwork
Problem-Solving Skills
Strong Communication Skills
Adaptability to Fast-Paced Environments

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in drug discovery, machine learning, and computational chemistry. Use specific examples to demonstrate your skills and achievements in these areas.

Craft a Compelling Cover Letter: Write a cover letter that explains why you are passionate about the role at Rahko. Mention your background in computer-aided drug design and any experience with advanced machine learning methods. Show how your skills align with their mission.

Highlight Relevant Projects: If you've worked on projects related to molecular simulation, cheminformatics, or bioinformatics, be sure to include these in your application. Detail your contributions and the impact of your work.

Show Enthusiasm for Diversity: Since Rahko values diversity, express your appreciation for inclusive workplaces in your application. Share any experiences that demonstrate your commitment to fostering an inclusive environment.

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 Quantum Computing

Rahko is at the forefront of quantum machine learning, so express your enthusiasm for this field. Share any relevant research or personal projects that showcase your interest and understanding of quantum computing and its applications in drug discovery.

✨Prepare for Problem-Solving Questions

Expect to face technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly and concisely, as this will demonstrate your analytical skills and ability to work collaboratively with the team.

✨Emphasise Your Collaborative Spirit

As a small startup, teamwork is crucial at Rahko. Be ready to discuss your experiences working in diverse teams and how you contribute to a positive and inclusive work environment. Highlight any instances where you've successfully collaborated with others to achieve a common goal.

Research Scientist (Drug discovery and machine learning)
Recooty
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  • Research Scientist (Drug discovery and machine learning)

    London
    Full-Time
    28800 - 48000 £ / year (est.)

    Application deadline: 2027-05-23

  • R

    Recooty

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