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- Tasks: Lead AI safety strategies and collaborate on risk assessments for biological and physical threats.
- Company: Pioneering scientific platform at the forefront of AI safety.
- Benefits: Competitive compensation, flexible locations, and opportunities for impactful collaboration.
- Why this job: Shape the future of AI safety and make a difference in science.
- Qualifications: PhD in biological or physical sciences with strong scientific computing skills.
- Other info: Join a dynamic team in London with excellent career growth potential.
The predicted salary is between 43200 - 72000 £ per year.
A pioneering scientific platform is seeking an AI Safety role to set and build safety strategies for biological and physical risks. The successful candidate will lead threat modeling exercises, develop evaluations, and collaborate with various stakeholders.
A PhD in biological or physical sciences is required, alongside strong capabilities in scientific computing and communication. This position is available in London, among other locations, and offers competitive compensation based on local benchmarks.
Lead AI Safety Scientist — Strategy, Risk & Collaboration employer: Lila Sciences
Contact Detail:
Lila Sciences Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI Safety Scientist — Strategy, Risk & Collaboration
✨Tip Number 1
Network like a pro! Reach out to professionals in the AI safety field on LinkedIn or at industry events. We can’t stress enough how valuable personal connections can be in landing that dream role.
✨Tip Number 2
Showcase your expertise! Prepare a portfolio or presentation that highlights your previous work in threat modeling and risk assessment. This will help us see your skills in action and set you apart from the crowd.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or mentors to refine your communication skills. We want to hear how you articulate complex scientific concepts clearly and confidently.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Lead AI Safety Scientist — Strategy, Risk & Collaboration
Some tips for your application 🫡
Show Off Your Expertise: Make sure to highlight your PhD and any relevant experience in biological or physical sciences. We want to see how your background aligns with the role, so don’t hold back on showcasing your skills!
Tailor Your Application: Take a moment to customise your application for this specific role. Mention your experience with threat modelling and scientific computing, as these are key aspects of the job. We love seeing candidates who take the time to connect their experiences to what we’re looking for.
Communicate Clearly: Since strong communication skills are essential, make sure your application is clear and concise. Use straightforward language and structure your thoughts logically. We appreciate clarity just as much as you do!
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’re considered for the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Lila Sciences
✨Know Your Science Inside Out
Make sure you have a solid grasp of both biological and physical sciences. Brush up on recent advancements and be ready to discuss how they relate to AI safety. This will show your depth of knowledge and passion for the field.
✨Prepare for Threat Modelling Questions
Expect questions around threat modelling exercises. Familiarise yourself with common methodologies and be prepared to discuss how you would approach identifying and mitigating risks in AI systems. Real-world examples can really make your answers stand out.
✨Showcase Your Collaboration Skills
Since this role involves working with various stakeholders, think of examples where you've successfully collaborated in the past. Highlight your communication skills and how you’ve navigated differing opinions to achieve a common goal.
✨Demonstrate Your Scientific Computing Skills
Be ready to talk about your experience with scientific computing. Whether it's programming languages or specific tools you've used, having concrete examples will help illustrate your technical capabilities and how they apply to AI safety.
