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- Tasks: Use AI and ML to revolutionise drug discovery and enhance ethical ML pipelines.
- Company: Global healthcare leader committed to innovation and inclusivity.
- Benefits: Competitive salary, dynamic work culture, and opportunities for research publication.
- Why this job: Make a real difference in healthcare while advancing your career in AI.
- Qualifications: PhD in a quantitative field, strong Python skills, and a passion for ethical AI.
- Other info: Collaborative environment with a focus on professional growth and impactful research.
The predicted salary is between 43200 - 72000 £ per year.
A global healthcare company is seeking a researcher to use AI and ML for drug discovery. This role requires a PhD-level background in a quantitative discipline, experience in developing ML methods, and excellent programming skills in Python.
Candidates should have a strong interest in ethical AI and a collaborative spirit. The position involves publishing ML research and enhancing ethical ML pipelines, supporting teams across the company.
This position is located in Greater London, UK and offers a dynamic and inclusive working culture.
Responsible AI ML Scientist — Drug Discovery & Healthcare employer: Council of State and Territorial Epidemiologists
Contact Detail:
Council of State and Territorial Epidemiologists Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Responsible AI ML Scientist — Drug Discovery & Healthcare
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI and healthcare sectors on LinkedIn. Join relevant groups and participate in discussions to get your name out there and show your interest in ethical AI.
✨Tip Number 2
Showcase your skills! Create a portfolio of your ML projects, especially those related to drug discovery or healthcare. This will not only demonstrate your programming prowess but also your commitment to ethical AI practices.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI ethics and ML methods. Be ready to discuss how you can enhance ethical ML pipelines and support collaborative efforts across teams.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to show your enthusiasm for joining our dynamic and inclusive culture.
We think you need these skills to ace Responsible AI ML Scientist — Drug Discovery & Healthcare
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your PhD-level background and any relevant experience in developing ML methods. We want to see your programming prowess in Python, so don’t hold back on showcasing your projects or contributions!
Ethics Matter: Since we’re all about ethical AI, share your thoughts or experiences related to this topic. Whether it’s a project you worked on or a paper you read, let us know how you approach ethical considerations in your work.
Collaborative Spirit: We love teamwork! Mention any collaborative projects you've been part of, especially those that involved cross-functional teams. This will show us that you’re not just a lone wolf but someone who thrives in a dynamic environment.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Council of State and Territorial Epidemiologists
✨Know Your AI and ML Inside Out
Make sure you brush up on the latest trends and techniques in AI and ML, especially those relevant to drug discovery. Be prepared to discuss your previous projects and how you've applied these methods in a practical setting.
✨Showcase Your Programming Skills
Since excellent programming skills in Python are a must, be ready to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice coding challenges beforehand to boost your confidence.
✨Emphasise Ethical AI
Given the focus on ethical AI, come prepared with examples of how you've considered ethics in your work. Discuss any frameworks or guidelines you follow and how you ensure that your ML models are fair and transparent.
✨Collaborate and Communicate
This role requires a collaborative spirit, so be ready to talk about your experience working in teams. Highlight instances where you've successfully collaborated with others, and show that you're open to feedback and new ideas.
