At a Glance
- Tasks: Design innovative proteins using cutting-edge machine learning models and collaborate with diverse teams.
- Company: Join Google DeepMind, a pioneering AI lab focused on transformative technology.
- Benefits: Competitive salary, inclusive culture, and opportunities for professional growth.
- Other info: Dynamic research environment with a commitment to safety, ethics, and public benefit.
- Why this job: Make a real impact in AI and protein design while solving global challenges.
- Qualifications: PhD in relevant field and experience in protein design tools required.
The predicted salary is between 70000 - 90000 £ per year.
- Minimum qualifications
- Ph D in a relevant field (Protein Design/Engineering, Machine Learning, Structural Biology, or similar) or equivalent practical experience.
- 2 years of experience using and developing protein design tools.
- Experience in an application area of protein design or protein engineering.
- Experience analyzing wet‑lab measurements of protein function.
- Preferred qualifications
- 2 years of post‑Ph D research experience.
- Experience in any of the following: mechanistic enzymology, biocatalysis, computational chemistry.
- Experience performing experiments to characterize protein function.
- Excellent computational, quantitative reasoning, and technical communication skills.
About the job
As an organization, Google maintains a portfolio of research projects driven by fundamental research, new product innovation, product contribution and infrastructure goals, while providing individuals and teams the freedom to emphasize specific types of work.
As a Research Scientist, you'll set up large‑scale tests and deploy promising ideas quickly and broadly, manage deadlines and deliverables while applying the latest theories to develop new and improved products, processes, or technologies.
From creating experiments and prototyping implementations to designing new architectures, our research scientists work on real‑world problems that span the breadth of computer science, such as machine (and deep) learning, data mining, natural language processing, hardware and software performance analysis, improving compilers for mobile platforms, as well as core search and much more.
As a Research Scientist, you'll also actively contribute to the wider research community by sharing and publishing your findings, with ideas inspired by internal projects as well as from collaborations with research programs at partner universities and technical institutes worldwide.
Artificial intelligence will be one of humanity’s most transformative inventions.
At Google Deep Mind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high‑quality product innovation for billions of users.
We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority.
We are pushing the boundaries across multiple domains.
Our global teams offer various learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities
- Apply generative machine learning models to design proteins with novel functions, such as enzymes, for wet‑lab testing.
- Build models and procedures for making in silico predictions of the functions of designed proteins.
- Resolve design failures by applying domain knowledge of protein design tools and sequence‑structure‑function relationships.
- Collaborate with teammates from various scientific backgrounds to improve and expand the capabilities of protein design tools.
- Identify high‑impact research directions in protein design method development and applications.
Google is proud to be an equal opportunity workplace and is an affirmative action employer.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status.
We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.
See also Google's EEO Policy and EEO is the Law.
If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
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Research Scientist, Protein Design, DeepMind in London employer: Google DeepMind
At Google DeepMind, we pride ourselves on being an exceptional employer that fosters innovation and collaboration in the heart of London. Our vibrant work culture encourages creativity and offers ample opportunities for professional growth, while our commitment to ethical AI ensures that your contributions will have a meaningful impact on society. Join us to be part of a team that values diversity and empowers you to excel in your career.
StudySmarter Expert Advice🤫
We think this is how you could land Research Scientist, Protein Design, DeepMind in London
✨Get Involved in Local Research Communities
Tap into local biotechnology meetups and research forums. These are great places to mingle with industry professionals, share your passion, and even discover unadvertised job openings. It's all about getting your face known in the field!
✨Leverage University Alumni Networks
If you're a recent grad, don’t underestimate the power of your university’s alumni network! Reach out to alumni working in biotechnology to gather tips about job openings at companies like Google DeepMind. You'd be surprised how willing people are to help out a fellow grad!
✨Show Off Your Projects
Curate a portfolio showcasing any research projects or internships you've completed in biotechnology. This tangible evidence of your skills can really impress employers when you chat with them at networking events or interviews. It's about making that killer first impression!
✨Stay Up-to-Date with Industry Trends
Biotech is a fast-paced field, so keeping yourself updated with the latest advancements is crucial. Attend industry conferences, webinars, or workshops to broaden your knowledge and meet potential employers. Plus, it’ll give you fantastic talking points for your interviews at places like Google DeepMind!
We think you need these skills to ace Research Scientist, Protein Design, DeepMind in London
Some tips for your application 🫡
Show Off Your Lab Skills:In the biotechnology field, it's super important to highlight your lab experience in your CV. Be sure to mention specific techniques or instruments you've mastered (think PCR, gel electrophoresis, etc.) and any relevant projects you've worked on. This will show Google DeepMind that you have the hands-on skills they need.
Tailor Your Technical Skills:Make sure to emphasise your technical skills, especially those relevant to the biotechnology sector. Include any software tools or programming languages you've used, like R or Python for data analysis, which could be key for this role at Google DeepMind.
Craft a Compelling Cover Letter:Since this is a full-time role, your cover letter should reflect not only your passion for biotechnology but also your long-term career ambitions. Share why you're excited about the work that Google DeepMind does and how you envision contributing to their goals. This shows that you’re not just looking for any job, but you're genuinely invested in this opportunity.
Include Your Papers and Projects:If you've published any papers or contributed to significant projects, mention them! These documents can boost your application and provide tangible evidence of your expertise in the biotechnology field. Don’t forget to link to any relevant publications or project summaries—this can set you apart from other candidates.
How to prepare for a job interview at Google DeepMind
✨Brush Up on Lab Techniques
Since you're eyeing a full-time gig in biotechnology, make sure you're well-versed in the lab techniques relevant to the role. Be ready to talk about PCR, CRISPR, or any specific methods mentioned in the job description at Google DeepMind. You might even be asked to demonstrate your understanding of these processes.
✨Know Your Bioinformatics Tools
Get comfortable with bioinformatics tools that are commonly used in the industry, like BLAST or Bioconductor. These are key in biotechnology, and having hands-on experience or at least familiarity can set you apart. Prepare to discuss any relevant projects you've worked on, especially if they involved data analysis or genomic research.
✨Show Your Teamwork Skills
Biotech often involves collaboration across multiple disciplines. Be ready to share stories that highlight your teamwork and communication skills, especially in research projects. Think about working with different teams at university or any internships – this is where you can show how well you fit into Google DeepMind's culture.
✨Research Recent Biotech Innovations
Stay updated on the latest trends and breakthroughs in biotechnology. Knowing what's happening in the field can help you engage in more meaningful discussions during your interview. Bring up recent articles or advancements that excite you, especially those related to the work being done at Google DeepMind. This shows your passion for the industry!
