At a Glance
- Tasks: Drive AI initiatives in synthetic biology and design systems for genome design.
- Company: Leading research institute in Oxford with a focus on innovation.
- Benefits: Competitive salary and additional benefits for your hard work.
- Why this job: Join the forefront of AI in biology and make a real impact.
- Qualifications: PhD in a relevant field and experience in building biological models.
- Other info: Collaborate closely with researchers and wet lab scientists.
The predicted salary is between 42000 - 84000 £ per year.
A leading research institute in Oxford is recruiting an experienced ML Scientist to drive AI and machine learning initiatives in synthetic biology. The role involves designing systems for genome design and collaborating with researchers.
Candidates should hold a PhD in a relevant field and possess proven experience in building models for biological design tasks. This position provides a chance to work at the forefront of AI in biology, utilizing advanced computational techniques and collaborating closely with wet lab scientists. Competitive salary and additional benefits are offered.
Senior ML Scientist: AI for Genomic Design & Biology in Oxford employer: Ellison Institute of Technology Oxford
Contact Detail:
Ellison Institute of Technology Oxford Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior ML Scientist: AI for Genomic Design & Biology in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of synthetic biology and AI. Attend conferences, webinars, or local meetups to connect with researchers and industry experts. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Showcase your projects! Create a portfolio that highlights your experience in building models for biological design tasks. Use platforms like GitHub to share your code and results. This will give potential employers a clear view of your skills and creativity.
✨Tip Number 3
Prepare for interviews by brushing up on both technical and soft skills. Be ready to discuss your past projects and how they relate to genomic design. Practice explaining complex concepts in simple terms, as collaboration with wet lab scientists is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting opportunities waiting for you. Tailor your application to highlight your relevant experience and passion for AI in biology. Let’s get you that dream job together!
We think you need these skills to ace Senior ML Scientist: AI for Genomic Design & Biology in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in machine learning and synthetic biology. We want to see how your skills align with the role, so don’t be shy about showcasing your PhD work and any projects that demonstrate your expertise.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI in genomic design and how your background makes you a perfect fit for our team. We love seeing enthusiasm and a clear understanding of the role.
Showcase Your Projects: If you've worked on any relevant projects or publications, make sure to mention them! We’re interested in your hands-on experience with building models for biological design tasks, so include links or summaries where possible.
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. Plus, we love seeing applications come in through our own channels!
How to prepare for a job interview at Ellison Institute of Technology Oxford
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and machine learning, especially as it relates to synthetic biology. Be prepared to discuss specific models you've built and how they apply to genome design. This will show that you're not just familiar with the theory but have practical experience too.
✨Showcase Collaboration Skills
Since this role involves working closely with wet lab scientists, be ready to share examples of past collaborations. Highlight how you’ve effectively communicated complex ML concepts to non-technical team members. This will demonstrate your ability to bridge the gap between computational and biological sciences.
✨Prepare for Technical Questions
Expect some deep dives into your technical expertise. Review common algorithms and techniques used in genomic design. Practise explaining your thought process when tackling a problem, as interviewers often look for insight into your analytical skills and problem-solving approach.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the institute's work. Inquire about ongoing projects in AI for genomic design or how they envision the future of AI in biology. This not only shows your enthusiasm but also helps you gauge if the role aligns with your career goals.
