At a Glance
- Tasks: Lead complex programs in Science Automation, driving impactful research and collaboration.
- Company: Join DeepMind, a pioneering AI lab focused on transformative scientific discovery.
- Benefits: Competitive salary, diverse learning opportunities, and a chance to work on groundbreaking projects.
- Other info: Dynamic environment with excellent career growth and the chance to make a real-world impact.
- Why this job: Shape the future of science with cutting-edge AI technology and multi-disciplinary teams.
- Qualifications: 5 years in program management, strong technical background, and experience in lab automation.
The predicted salary is between 80000 - 100000 £ per year.
Minimum qualifications: Bachelor's degree in a technical field, or equivalent practical experience. 5 years of experience in program management.
Preferred qualifications: 5 years of experience managing cross-functional or cross-team projects. Experience managing deep collaborations with external partners. Manage external vendors. Experience in robotics, automation, materials labs/wet labs or systems engineering. Strong technical background with an understanding of AI in the context of lab automation and lab in the loop research. Ability to influence cross-functional teams (e.g., engineering, computational biology, product) and distill complex technical concepts for executive leadership. Demonstrated ability to improve processes, workflows, and governance to enhance research efficiency. Strategic mindset to manage high-stakes external products and partnerships while maintaining the pace of research progress.
At DeepMind we seek to dramatically accelerate scientific discovery by achieving a higher throughput of experimental results and enabling fundamentally new kinds of science. The role will be to lead and shape complex programs in DeepMind’s Science and Strategic Initiatives Unit, with a focus on the field of Science Automation, with a strong focus on lab automation in the domains of material science and life sciences. This is an opportunity to work with researchers in various fields, multi-disciplinary teams and external partners to shape this goal and bring our research breakthroughs to the real world. There will also be the opportunity to work on projects and processes spanning across the science and strategic initiatives unit.
Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, 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 diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.
Responsibilities:
- Drive end-to-end planning and delivery using project methodologies, agile boards, risk trackers, and budget management to track success against goals.
- Create clarity and resolve ambiguity by translating high-level strategic goals into detailed, actionable execution plans with clear milestones and deliverables.
- Translate research outcomes into impact (commercial, societal, reputational) like products, demos, or partnerships by working with leadership and partners.
- Anticipate solutions to issues and risks, track progress, manage technical documentation, and proactively identify requirements like technical dependencies.
- Coach individuals and lead engagement across the team by building relationships, improving ways of working, and inspiring them to achieve their full potential.
Technical Program Manager, Science Automation, DeepMind in London employer: Google
At DeepMind, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our commitment to employee growth is evident through diverse learning opportunities and the chance to work alongside leading researchers in AI and science automation. Located in a vibrant tech hub, we offer a unique environment where your contributions can lead to meaningful advancements in scientific discovery and societal impact.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Program Manager, Science Automation, DeepMind in London
✨Get Involved in Local Automation Meetups
We can’t stress this enough – getting your face out there in the automation and control systems community can really set you apart. Look for local meetups or workshops where you can chat with industry professionals, learn about what’s trending, and even discover hidden job gems. Who knows, you might meet someone from a company like Google!
✨Show Off Your Projects
Make sure you have a portfolio of your work ready to roll. Whether it’s academic projects, internships or personal experiments, showcase how you’ve tackled automation challenges. When you apply for the Technical Program Manager, Science Automation, DeepMind position at Google, linking your portfolio gives your application that extra oomph and demonstrates your practical knowledge.
✨Leverage Your Uni Career Services
If you’re fresh out of uni, don’t forget about your career services! Many universities have established connections with companies in the automation field. They may know when Google is looking for fresh talent or even have internships that lead to full-time positions. So, hit them up!
✨Keep an Eye on Industry Certifications
While hunting for roles, consider getting certified in relevant automation technologies. It shows dedication and gives you a leg up in the job market. Plus, many organisations offer job boards or networking events to certified professionals. This might just lead you to that coveted Technical Program Manager, Science Automation, DeepMind role at Google!
We think you need these skills to ace Technical Program Manager, Science Automation, DeepMind in London
Some tips for your application 🫡
Show Off Your Technical Skills:When applying for an automation-control-systems role, it’s crucial to highlight your technical skills. Whether it's your proficiency in programming languages like Python or understanding control systems, make sure your CV showcases these prominently. Don't forget to mention any specific software or tools you're experienced with – that’s music to the ears of hiring managers!
Tailor Your Projects to Automation:If you've worked on any relevant projects, especially those involving automation or control systems, make them stand out in your CV. Use a dedicated section to highlight these projects, explaining your role and the impact of your contributions. This could be the difference between getting noticed and getting overlooked!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine, so tell us why you’re passionate about automation-control-systems! Discuss specific experiences that sparked your interest in this field. Maybe it's a university project or a previous job that truly got you hooked. We love seeing that spark! Make sure to reference how you can contribute to Google and its goals.
Quantify Your Achievements:In the world of automation, results matter. When listing your experiences, quantify your achievements wherever possible. Did you improve system efficiency by a percentage? Did you reduce downtime? Putting numbers to your successes not only demonstrates your impact but also lets us see the tangible outcomes of your efforts. It makes your application pop!
How to prepare for a job interview at Google
✨Master Your Technical Knowledge
In the automation control systems field, you need to brush up on your technical know-how. Be prepared to talk about specific control systems you’ve worked with, such as PLCs or SCADA systems, and expect technical questions or even hands-on problem-solving scenarios during the interview.
✨Showcase Your Projects
Whether it's freelance projects or your academic work, come ready to showcase your portfolio of automation projects. Bring along any diagrams, code samples, or automation solutions you’ve implemented—these can really set you apart and demonstrate your applied skills to Google.
✨Understand Industry Trends
Stay updated on the latest trends in automation technologies and methodologies, like Industry 4.0 or IIoT. We'll want to discuss how these concepts may affect the role and future projects at Google, so showing that you're knowledgeable about current and emerging technologies can give you an edge.
✨Commit to Continuous Learning
As this is a full-time role, it's essential to express your eagerness for continuous improvement and learning. Share how you plan to enhance your skills and keep pace with the evolution of automation in the workforce – companies love candidates who are committed to growth and adaptability.
