Director, Hybrid AI/ML for Drug Development in London

Director, Hybrid AI/ML for Drug Development in London

London Full-Time 54000 - 84000 Β£ / year (est.) No home office possible
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At a Glance

  • Tasks: Lead AI/ML initiatives to revolutionise drug development processes.
  • Company: Top research organisation in Greater London with a focus on innovation.
  • Benefits: Competitive pay, hybrid work model, and extensive professional growth opportunities.
  • Why this job: Join a pioneering team and make a significant impact in healthcare.
  • Qualifications: PhD in AI/ML or Life Sciences, strong statistical analysis skills, Python/PyTorch experience.
  • Other info: Dynamic environment fostering collaboration and personal development.

The predicted salary is between 54000 - 84000 Β£ per year.

A leading research organization is seeking a Director, MIDD AI/ML Scientist for their Clinical Pharmacology Quantitative Medicine team in Greater London. The ideal candidate will apply AI/ML techniques to enhance drug development processes.

A PhD in AI/ML or Life Sciences is required, along with strong skills in statistical analysis and experience with Python/PyTorch.

This role offers competitive compensation, a hybrid working model, and various benefits to encourage professional growth and well-being.

Director, Hybrid AI/ML for Drug Development in London employer: The Association of Technology, Management and Applied Engineering

Join a pioneering research organisation in Greater London that champions innovation and professional development. As a Director in the Clinical Pharmacology Quantitative Medicine team, you will benefit from a competitive salary, a hybrid working model, and a supportive culture that prioritises employee well-being and growth opportunities in the rapidly evolving field of AI/ML for drug development.
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Contact Detail:

The Association of Technology, Management and Applied Engineering Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Director, Hybrid AI/ML for Drug Development in London

✨Tip Number 1

Network like a pro! Reach out to professionals in the AI/ML and drug development fields on LinkedIn. Join relevant groups and participate in discussions to get your name out there.

✨Tip Number 2

Showcase your skills! Create a portfolio that highlights your projects in AI/ML, especially those related to drug development. 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 your technical knowledge. Be ready to discuss your experience with Python/PyTorch and how you've applied statistical analysis in real-world scenarios.

✨Tip Number 4

Don’t forget to apply through our website! We often have exclusive listings and it’s a great way to ensure your application gets noticed by the right people.

We think you need these skills to ace Director, Hybrid AI/ML for Drug Development in London

AI/ML Techniques
Statistical Analysis
Python
PyTorch
PhD in AI/ML or Life Sciences
Drug Development Processes
Clinical Pharmacology
Quantitative Medicine

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience with AI/ML techniques and drug development. We want to see how your skills in statistical analysis and Python/PyTorch can contribute to our team!

Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're passionate about applying AI/ML in drug development and how your background makes you the perfect fit for this role.

Showcase Relevant Projects: If you've worked on any projects that involved AI/ML in a life sciences context, make sure to mention them. We love seeing real-world applications of your skills!

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 from our team!

How to prepare for a job interview at The Association of Technology, Management and Applied Engineering

✨Know Your AI/ML Stuff

Make sure you brush up on the latest AI/ML techniques relevant to drug development. Be ready to discuss how you've applied these methods in your previous roles, especially using Python and PyTorch. This will show that you’re not just familiar with the theory but can also implement it practically.

✨Statistical Analysis is Key

Since strong skills in statistical analysis are a must for this role, prepare to talk about your experience with various statistical methods. Bring examples of how you've used these techniques to solve real-world problems in drug development. It’ll demonstrate your analytical prowess and relevance to the position.

✨Understand the Company’s Vision

Research the organisation's goals and recent projects in clinical pharmacology. Knowing their mission and how they integrate AI/ML into their processes will help you align your answers with their objectives, showing that you’re genuinely interested in contributing to their success.

✨Prepare Questions That Matter

Think of insightful questions to ask during the interview. Inquire about their current challenges in drug development or how they envision the future of AI/ML in their work. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.

Director, Hybrid AI/ML for Drug Development in London
The Association of Technology, Management and Applied Engineering
Location: London

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