PhD in Data-Driven Drug Discovery & Molecular Editing in Leeds

PhD in Data-Driven Drug Discovery & Molecular Editing in Leeds

Leeds Full-Time 19237 - 22537 £ / year (est.) No working from home possible
University of Leeds

At a Glance

  • Tasks: Enhance drug discovery through innovative molecular editing and reactions.
  • Company: University of Leeds, in collaboration with Exscientia.
  • Benefits: Receive a grant of £19,237 plus a £3,300 Top-Up annually for 3.5 years.
  • Other info: Gain valuable training and support in a pioneering research environment.
  • Why this job: Join a cutting-edge project that combines Synthetic Chemistry, AI, and Machine Learning.
  • Qualifications: Strong academic background required in relevant fields.

The predicted salary is between 19237 - 22537 £ per year.

The University of Leeds is offering an EPSRC CASE Competition Studentship focused on enhancing drug discovery through molecular editing. This project is in collaboration with Exscientia and will explore innovative reactions for drug development.

Students will receive a grant of £19,237 and a Top-Up of £3,300 per year for 3.5 years, along with training and support in Synthetic Chemistry, AI, and Machine Learning. A strong academic background is required.

PhD in Data-Driven Drug Discovery & Molecular Editing in Leeds employer: University of Leeds

The University of Leeds is an exceptional employer, offering a vibrant academic environment that fosters innovation and collaboration in the field of drug discovery. With generous funding for students and access to cutting-edge training in Synthetic Chemistry, AI, and Machine Learning, employees can expect significant growth opportunities while contributing to groundbreaking research alongside industry leaders like Exscientia. The supportive work culture prioritises professional development and encourages a passion for scientific advancement, making it an ideal place for those seeking meaningful and rewarding careers.

University of Leeds

Contact Details:

University of Leeds Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land PhD in Data-Driven Drug Discovery & Molecular Editing in Leeds

Tip Number 1

Network like a pro! Reach out to current students or alumni from the University of Leeds and Exscientia. They can give you insider tips on what the selection committee is looking for and might even put in a good word for you.

Tip Number 2

Prepare for your interview by brushing up on your knowledge of synthetic chemistry, AI, and machine learning. We want to see that you're not just academically strong but also genuinely passionate about the field.

Tip Number 3

Showcase your research experience! If you've worked on any relevant projects, make sure to highlight them during your discussions. We love to see how your background aligns with the innovative reactions for drug development.

Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets the attention it deserves. Plus, we’re here to support you every step of the way!

We think you need these skills to ace PhD in Data-Driven Drug Discovery & Molecular Editing in Leeds

Synthetic Chemistry
AI
Machine Learning
Data Analysis
Innovative Reaction Development
Collaboration Skills
Research Skills

Some tips for your application 🫡

Show Off Your Academic Background:Make sure to highlight your strong academic background in your application. We want to see how your previous studies and experiences relate to the exciting field of data-driven drug discovery and molecular editing.

Tailor Your Application:Don’t just send a generic application! We love it when candidates tailor their applications to fit the specific project. Mention how your skills align with the innovative reactions for drug development that we’re exploring.

Be Clear and Concise:Keep your writing clear and to the point. We appreciate well-structured applications that are easy to read. Avoid jargon unless it’s necessary, and make sure your passion for the subject shines through!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets to us without any hiccups. Plus, you’ll find all the details you need right there!

How to prepare for a job interview at University of Leeds

Know Your Stuff

Make sure you brush up on your knowledge of synthetic chemistry, AI, and machine learning. Familiarise yourself with recent advancements in drug discovery and molecular editing. This will not only help you answer technical questions but also show your genuine interest in the field.

Showcase Your Research Skills

Prepare to discuss any previous research projects or relevant experience you have. Be ready to explain your methodology, findings, and how they relate to the project at hand. This is your chance to demonstrate your analytical skills and problem-solving abilities.

Ask Insightful Questions

Interviews are a two-way street! Prepare thoughtful questions about the project, the collaboration with Exscientia, and the training opportunities available. This shows that you’re engaged and serious about the role, plus it helps you gauge if the position is right for you.

Practice Makes Perfect

Conduct mock interviews with friends or mentors to get comfortable with articulating your thoughts. Focus on explaining complex concepts clearly and concisely. The more you practice, the more confident you'll feel during the actual interview.