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: Flexible work-life balance, excellent facilities, and strong manager support.
- Other info: Collaborative environment with opportunities for ethical advancements in AI.
- Why this job: Make a real impact in science while pushing the boundaries of technology.
- Qualifications: PhD in machine learning or equivalent experience, with programming and quantitative skills.
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 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, extensive managerial support, and a focus on work-life balance, ensuring that our team members thrive both personally and professionally. With ample opportunities for growth and innovation, joining us means being part of a dedicated scientific community that is passionate about making a meaningful impact on humanity through advanced technology.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Machine Learning, Structural & Synthetic Biology
✨Tip Number 1
Network like a pro! Reach out to people in your field, attend conferences, and join online forums. We can’t stress enough how valuable connections can be in landing that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your machine learning projects. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by practising common questions and presenting your research clearly. We recommend doing mock interviews with friends or mentors to boost your confidence and refine your delivery.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of our community.
We think you need these skills to ace Research Scientist, Machine Learning, Structural & Synthetic Biology
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 shine! Use it to explain why you’re passionate about accelerating science with innovative technologies. Let us know how your background makes you a perfect fit for the Research Scientist role.
Showcase Your Collaboration Skills:Since collaboration is key in our environment, mention any past experiences where you worked with researchers or engineers. We love to see how you’ve contributed to team efforts and tackled challenges together!
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our community!
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 Spirit
Since collaboration is key in this role, think of examples where you've worked with others to solve complex problems. Be prepared to share how you can contribute to team dynamics and support your colleagues in achieving research goals.
✨Present Like a Pro
You’ll need to report and present findings clearly, so practice explaining your research in simple terms. Use visuals if possible, and be ready to answer questions about your methods and results, demonstrating your ability to communicate effectively.
✨Ethics Matter
Familiarise yourself with ethical considerations in AI and machine learning. Be prepared to discuss how you would ensure that your work benefits humanity and aligns with ethical standards, showing that you’re not just technically skilled but also socially responsible.
