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- Tasks: Lead innovative AI projects in generative biology and tackle complex biological challenges.
- Company: Leading research institute in Oxford with a focus on groundbreaking research.
- Benefits: Competitive salary, travel allowance, enhanced holiday pay, and professional development.
- Why this job: Make a real impact in bioengineering with cutting-edge AI technology.
- Qualifications: PhD in a relevant field and expertise in AI model development.
- Other info: Collaborative environment with opportunities for career advancement.
The predicted salary is between 36000 - 60000 £ per year.
A leading research institute in Oxford is seeking an experienced ML Scientist to develop AI and machine learning systems that support groundbreaking research in generative biology. The role requires a PhD in a relevant field and expertise in building AI models for biological design tasks.
Responsibilities include:
- Leading innovative projects
- Collaborating with a team of experts to address complex biological challenges
Competitive salary and benefits package offered, including travel allowance and enhanced holiday pay.
ML Scientist: Genomic Design & AI for Bioengineering in Oxford employer: Ellison Institute, LLC
Contact Detail:
Ellison Institute, LLC Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land ML Scientist: Genomic Design & AI for Bioengineering in Oxford
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of AI and bioengineering on platforms like LinkedIn. Join relevant groups and engage in discussions to get your name out there and show your passion for the industry.
✨Tip Number 2
Showcase your projects! If you've worked on any innovative AI models or research, make sure to highlight them in conversations or during interviews. We want to see your hands-on experience and how you tackle complex biological challenges.
✨Tip Number 3
Prepare for technical interviews! Brush up on your machine learning algorithms and be ready to discuss how they apply to genomic design. Practising coding problems related to AI can also give you an edge over other candidates.
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. It shows initiative and enthusiasm, which are key traits we look for in potential ML Scientists.
We think you need these skills to ace ML Scientist: Genomic Design & AI for Bioengineering in Oxford
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in AI and machine learning, especially in the context of biological design. We want to see how your skills align with the groundbreaking research we’re doing at our institute.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about generative biology and how your PhD has prepared you for this role. Let us know what excites you about working with our team.
Showcase Your Projects: If you’ve worked on innovative projects or have experience leading teams, make sure to include that in your application. We love seeing examples of how you’ve tackled complex challenges in the past!
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 Ellison Institute, LLC
✨Know Your Stuff
Make sure you brush up on your knowledge of AI and machine learning, especially as it relates to generative biology. Be prepared to discuss your previous projects in detail, highlighting how your expertise can contribute to the innovative work at the research institute.
✨Showcase Collaboration Skills
Since the role involves working with a team of experts, be ready to share examples of how you've successfully collaborated in the past. Discuss any interdisciplinary projects you've been part of and how you navigated challenges within a team setting.
✨Prepare for Technical Questions
Expect some technical questions that will test your understanding of building AI models for biological design tasks. Brush up on relevant algorithms and methodologies, and be ready to explain your thought process when tackling complex problems.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your genuine interest in the role and the institute's research. Inquire about ongoing projects or future directions in genomic design and AI, which will demonstrate your enthusiasm and forward-thinking mindset.
