At a Glance
- Tasks: Use machine learning to tackle challenges in structural and synthetic biology.
- Company: Join a supportive scientific community dedicated to solving intelligence for public benefit.
- Benefits: Enjoy a balanced work-life, excellent facilities, and extensive manager support.
- Other info: Collaborate with experts and engage in ethical advancements for humanity.
- Why this job: Make a real impact in science while pushing the boundaries of technology.
- Qualifications: PhD in machine learning or equivalent experience; programming and quantitative skills required.
The predicted salary is between 60000 - 80000 £ per year.
About Us
We’re a dedicated scientific community, committed to “solving intelligence” and ensuring our technology is used for widespread public benefit. We’ve built a supportive and inclusive environment where collaboration is encouraged and learning is shared freely. We don’t set limits based on what others think is possible or impossible. We drive ourselves and inspire each other to push boundaries and achieve ambitious goals. We constantly iterate on our workplace experience with the goal of ensuring it encourages a balanced life. From excellent office facilities through to extensive manager support, we strive to support our people and their needs as effectively as possible.
The Role
As a Research Scientist in the Science Program, you will use your machine learning expertise to collaborate with domain experts and other machine learning scientists within our natural science programs. The domain of focus in this role is structural biology and synthetic biology.
Key Responsibilities
- Engage with existing research efforts in the Science Program to solve key challenges using your broad machine learning experience.
- Collaborate with researchers and machine learning engineers to identify and develop novel machine learning approaches tailored to natural sciences.
- Report and present research findings and developments (including status and results) clearly and efficiently both internally and externally, verbally and in writing.
- Suggest and engage in team collaborations to meet research goals for the wider science programme.
- Work in collaboration with our Ethics and Governance teams to ensure our advances in intelligence are developed ethically and provide broad benefits to humanity.
About You
In order to set you up for success as a Research Scientist at DeepMind, we look for the following skills and experience:
- PhD demonstrating significant advances in machine learning or equivalent practical experience.
- Passion for accelerating science using innovative technologies.
- Programming experience.
- Quantitative skills in maths and statistics.
- Experience of common scripting languages or pipelining tools.
In addition, the following would be an advantage:
- Experience in applying machine learning techniques to problems in the natural sciences, e.g. on proteins or molecules.
- Experience in generative machine learning techniques, such as language modelling.
- Experience in geometric deep learning.
- Experience in machine learning on real world, experimental data.
- Shown success in delivering high quality research impact.
- A real passion for AI!
Research Scientist, Machine Learning, Structural & Synthetic Biology in London employer: Google DeepMind
At DeepMind, we pride ourselves on being an exceptional employer, fostering a collaborative and inclusive culture that empowers our Research Scientists to push the boundaries of machine learning in structural and synthetic biology. Our commitment to employee well-being is reflected in our excellent office facilities and extensive managerial support, ensuring a balanced work-life experience while providing ample opportunities for professional growth and meaningful contributions to science. Join us in a vibrant environment where your passion for AI can thrive and make a real impact on humanity.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Machine Learning, Structural & Synthetic Biology in London
✨Tip Number 1
Network like a pro! Reach out to professionals in the field of machine learning and synthetic biology. Attend conferences, webinars, or local meetups to connect with potential colleagues and mentors who can give you insights and possibly refer you to job openings.
✨Tip Number 2
Showcase your work! Create a portfolio that highlights your research projects, especially those related to machine learning in natural sciences. This will not only demonstrate your expertise but also give you something tangible to discuss during interviews.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex concepts in simple terms, as you'll need to present your findings clearly to both technical and non-technical audiences.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who want to push boundaries in science. Your application will stand out if you show genuine interest in our mission and values.
We think you need these skills to ace Research Scientist, Machine Learning, Structural & Synthetic Biology in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your machine learning expertise and any relevant experience in structural or synthetic biology. We want to see how your skills align with our mission, so don’t hold back on showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re passionate about accelerating science with innovative technologies. Share specific examples of your work and how it relates to the role. Let your enthusiasm shine through!
Showcase Your Collaboration Skills:Since we value teamwork, mention any past experiences where you’ve collaborated with researchers or engineers. Highlight how you contributed to achieving common goals, as this will resonate with our supportive environment.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. 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 Google DeepMind
✨Know Your Stuff
Make sure you brush up on your machine learning concepts, especially as they relate to structural and synthetic biology. Be ready to discuss your PhD work and any relevant projects in detail, showcasing how your experience aligns with the role.
✨Collaborative Mindset
Since collaboration is key in this role, think of examples where you've worked with others to solve complex problems. Prepare to share how you can engage with domain experts and contribute to team efforts effectively.
✨Present Like a Pro
You’ll need to report and present your findings clearly, so practice explaining your research in simple terms. Use visuals if possible, and be prepared for questions that challenge your conclusions or methods.
✨Ethics Matter
Familiarise yourself with ethical considerations in AI and machine learning. Be ready to discuss how you would ensure your research benefits humanity and aligns with ethical standards, showing that you’re not just about the tech but also about its impact.
