At a Glance
- Tasks: Lead projects that turn groundbreaking AI research into real-world solutions for climate and health.
- Company: Join a pioneering team at the forefront of scientific discovery and innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Be part of a revolutionary journey that makes a tangible impact on global challenges.
- Qualifications: 2+ years in project management with Agile expertise and cross-functional leadership experience.
- Other info: Dynamic role in a fast-paced environment with endless learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
You will be the operational engine behind a revolution in scientific discovery. By bridging the gap between cutting-edge AI research and real-world application, you’ll turn ambitious "fifth paradigm" theories into tangible breakthroughs for climate, energy, and global health.
Core Responsibilities
- Project Delivery & Agile Leadership
- Scrum Master Duties: Facilitate Agile ceremonies and support lead researchers in daily decision-making.
- Progress Tracking: Organise and monitor project lifecycles to ensure key scientific milestones are achieved.
- Workflow Optimisation: Identify inefficiencies in the research process and implement better ways of working.
- Data Governance: Oversee data standards and ensure the team remains compliant with research data protocols.
- Stakeholder Management: Act as the central point of contact between internal technical teams and external partners.
- Knowledge Sharing: Bridge the gap between different disciplines (e.g., Biology and Computer Science) to ensure seamless teamwork.
- External Engagement: Coordinate technical workshops, research talks, and collaborative sessions with academic and industry peers.
- Reporting: Produce clear, engaging updates and documentation to provide visibility on project success.
What we’re looking for
- Technical Management: At least 2 years of experience in project or programme management within an engineering or technical environment.
- Agile Expertise: Proven experience working within Agile teams and a high level of proficiency with Agile project tools (e.g., maintaining backlogs and project boards).
- Cross-functional Leadership: A track record of managing projects that involve multiple different technical teams simultaneously.
Technical Skills & Tools
- Project Management Artifacts: Mastery of backlogs, Kanban/Sprint boards, and detailed meeting documentation.
- Coding Literacy (Preferred): The ability to read or write basic code (e.g., for product demos or technical documentation) is highly advantageous.
- Partnership Management: Experience handling external professional relationships and collaborations.
Key Attributes
- Adaptability: Comfortable working in "ambiguous" environments where research goals may shift.
- Attention to Detail: Rigorous approach to tracking complex technical requirements.
- Proactive Mindset: A self-starter who can work independently to drive a team toward a common goal.
If this role sounds like the right challenge for you, apply today!
Project Coordinator - AI and Research in Cambridge employer: Experis
Contact Detail:
Experis Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Project Coordinator - AI and Research in Cambridge
✨Tip Number 1
Network like a pro! Reach out to people in your field, especially those who work in AI and research. Attend events, webinars, or even local meetups to make connections that could lead to job opportunities.
✨Tip Number 2
Show off your Agile skills! If you’ve got experience as a Scrum Master or with Agile methodologies, make sure to highlight that in conversations. Share specific examples of how you’ve facilitated teams and delivered projects successfully.
✨Tip Number 3
Be proactive in following up! After interviews or networking events, send a quick thank-you email. It keeps you on their radar and shows your enthusiasm for the role. Plus, it’s a great way to reiterate your interest!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining us. It gives you a better chance to stand out and shows you’re keen on being part of our mission.
We think you need these skills to ace Project Coordinator - AI and Research in Cambridge
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your experience in project management and Agile methodologies. We want to see how your skills align with our mission of bridging AI research and real-world applications.
Showcase Your Technical Skills: Don’t forget to mention any technical tools you’ve used, especially those related to project management like Kanban boards or backlogs. We love seeing candidates who can demonstrate their coding literacy, even if it’s just basic!
Highlight Your Leadership Experience: We’re looking for someone with cross-functional leadership experience, so be sure to share examples of how you’ve managed diverse teams. Show us how you’ve facilitated collaboration between different disciplines!
Keep It Clear and Engaging: When writing your application, aim for clarity and engagement. Use straightforward language and structure your documents well. Remember, we want to see your personality shine through while keeping it professional!
How to prepare for a job interview at Experis
✨Know Your Agile Stuff
Make sure you brush up on Agile methodologies and tools. Be ready to discuss your experience as a Scrum Master and how you've facilitated Agile ceremonies in the past. Highlight specific examples where you’ve helped teams overcome challenges.
✨Showcase Your Project Management Skills
Prepare to talk about your project management experience, especially in technical environments. Bring examples of how you've organised and monitored project lifecycles, and be ready to discuss any project management artifacts you’ve mastered, like backlogs and Kanban boards.
✨Demonstrate Cross-Functional Leadership
Think of instances where you’ve successfully managed projects involving multiple technical teams. Be prepared to explain how you bridged gaps between disciplines, like Biology and Computer Science, and how you ensured seamless teamwork.
✨Be Proactive and Adaptable
During the interview, convey your proactive mindset and adaptability. Share stories that illustrate how you’ve thrived in ambiguous environments and how you’ve tackled shifting research goals. This will show them you’re the self-starter they need!