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Head of Scientific Operations
Location:
Oxford, Oxon
Description:
The Ellison Institute of Technology (EIT) works to develop and deploy advanced technology in pursuit of solving some of humanity’s most challenging and enduring problems. Guided by world leaders, scientists, and entrepreneurs, EIT seeks to accelerate innovation by driving scientific and technological advancements across four humane endeavours: health and medical science, food security and sustainable agriculture, climate change and clean energy, and government innovation and era of artificial intelligence. EIT Oxford is a new interdisciplinary research and development facility that bridges The Oxford Science Park and Littlemore. Set for completion in 2026, the state-of-the-art facility will have 30,000m2 of research laboratories, an oncology and preventative care clinic, plus educational and meeting spaces. The new facility will further EIT’s current partnership with the University of Oxford and become the new home for Ellison Scholars. Please visit eit.org for more details. At the Ellison Institute, we believe that an inclusive, collaborative team atmosphere is just as important to our mission as our scientific aims and methods. We strive to build a supportive environment where everyone feels confident taking creative risks toward innovation. We value emotional intelligence and communicating with empathy and respect for others. We foster a team that is curious, has a deep sense of commitment, responsibility, and the resilience needed to achieve excellence. Please visit eit.org for more details. The Team We are a collaborative team of world class AI scientists, data scientists, data and software engineers and technologists within the Ellison Institute of Technology. We work across all of the humane endeavours, supported by world-class and large-scale computer and data platforms.Our mission is to harness AI to unlock 10x impact in all of the humane endeavours, and to deliver 100x impact in the future through foundational ML research and novel AI approaches.We unite through deep collaboration across three elements: (1) the expertise of EIT’s scientists and our AI impact teams, (2) deep ties with the world class fundamental AI researchers at Oxford University, and (3) the brilliance of the future leaders funded by the Ellison Scholars network. By doing so, we unlock an additionality that is more than the sum of its parts.We enable AI to be at the heart of how EIT tackles some of humanity's most pressing and enduring challenges.Our work leverages the world-renowned AI research from Oxford and beyond, but we don't stop there. We take breakthrough AI research and orient it towards ambitious real-world applications, striving to make a tangible difference to society and people's lives. And by understanding the potential of transforming humanity with science and technology, we help to focus Oxford’s cutting edge research on impact that serves humanity. The Role: Build and lead a world-class operations team to ensure seamless and effective collaboration across diverse AI teams. Strategies: Team Development: Recruit and retain top talent with varied backgrounds in AI and operations. Identify skills gaps, use data-driven recruitment methods, and provide ongoing training and development opportunities. Leading by Example: Foster a culture of excellence, collaboration, and continuous improvement. Set clear expectations, offer regular feedback, and recognise team achievements. Strategic Vision: Align team objectives with organisational goals and advancements in AI. Develop a strategic plan that includes both short-term and long-term goals, ensuring alignment with AI initiatives and the wider organisational vision. Key Metrics: Team performance and satisfaction.Retention rates and skills diversity.Achievement of strategic milestones. Effective Collaboration Ensure the additionality flywheel of the AI capability operates effectively, with AI mission projects, AI research teams, and CDT graduate DPhil projects all functioning efficiently and collaboratively. Strategies: Process Integration: Develop streamlined processes for project collaboration and communication. Implement collaborative tools (e.g., shared workspaces, communication platforms) and standardise processes for project initiation and execution. Cross-Functional Teams: Foster interactions between teams to leverage diverse expertise. Schedule regular cross-team meetings, workshops, and collaborative events to share knowledge and updates. Feedback Loops: Create mechanisms for continuous feedback and improvement. Conduct regular reviews, gather feedback from all stakeholders, and implement improvements based on the insights gained. Key Metrics: Number of cross-team initiatives and collaborations.Efficiency and speed of project execution.Feedback scores and process improvements. Operational Excellence Develop and implement processes to ensure high standards of productivity, reproducibility, and regulatory compliance. Optimise resource allocation, budgeting, and project timelines. Strategies: Process Optimisation: Identify and eliminate inefficiencies in workflows. Map current processes, identify bottlenecks, and implement lean methodologies. Resource Management: Ensure optimal use of resources, including personnel, budget, and time. Develop a resource allocation framework and regularly review budgets and project timelines. Compliance and Standards: Maintain adherence to regulatory requirements and industry best practices. Stay updated on relevant regulations, conduct regular compliance audits, and provide training on standards and regulations. Key Metrics Productivity metrics (e.g., project completion rates, task efficiency).Compliance audit results.Budget adherence and resource utilisation rates. Integration Ensure multidisciplinary teams work well together, drawing on expertise from all groups within the AI capability and across EIT and Oxford. Strategies: Interdisciplinary Collaboration: Promote knowledge sharing and joint problem-solving across disciplines. Organise cross-disciplinary workshops, seminars, and joint projects. Shared Vision and Goals: Establish common objectives that unite different teams. Develop a unified vision statement and ensure it is communicated and embraced across teams. Cultural Integration: Foster a collaborative culture that values diverse perspectives and approaches. Conduct team-building activities and provide training on effective teamwork and collaboration. Key Metrics: Degree of interdisciplinary collaboration and knowledge sharing.Team cohesion and satisfaction.Success of integrated projects. Quality Assurance and Improvement Establish and maintain rigorous protocols to ensure the accuracy, reliability, and reproducibility of scientific data and research outcomes. Strategies: Quality Protocols: Develop and enforce strict quality control measures for research processes. Implement standard operating procedures (SOPs) and conduct regular quality checks. Continuous Improvement: Create a culture of ongoing improvement and learning. Conduct regular quality reviews, gather data on performance, and iterate on processes based on findings. Data Integrity: Ensure the accuracy and reliability of data through robust data management practices. Establish data governance frameworks, use secure and reliable data management tools, and provide training on data handling. Key Metrics: Accuracy and reproducibility rates of research outcomes.Incidence of quality-related issues.Adoption and effectiveness of quality improvement initiatives. Person Specification Essential CriteriaA degree in a relevant field (e.g., Computer Science, Engineering, Business Administration) or equivalent experience.Leadership Experience: Proven track record of building and leading high-performing teams, ideally in a technology or research environment.Operational Expertise: Strong background in operational management, with experience in developing and implementing processes to improve efficiency and compliance.Collaborative Skills: Demonstrated ability to foster effective collaboration across diverse teams and disciplines.Strategic Thinking: Capability to align team objectives with broader organisational goals and drive strategic initiatives.Quality Focus: Experience in establishing and maintaining high standards of quality assurance and continuous improvement.Interpersonal Skills: Strong communication and interpersonal skills, with the ability to influence and engage stakeholders at all levels.Innovative Mindset: A proactive approach to identifying and implementing innovative solutions to complex problems.Leadership Skills: Demonstrated leadership abilities with a talent for inspiring and motivating teams to achieve their best.A collaborative mindset with excellent communication skills to effectively work with research teams and stakeholders.Demonstrates a dedication to EIT’s cultural principles by being collaborative and inclusive while also taking creative risks to drive innovation.Values emotional intelligence and communicates with empathy and respect for others.Thrives in a team that is curious, feels a strong sense of responsibility, and possesses the grit to achieve excellence.Experience of early-stage research that involves significant scientific discovery in AI and/or other scientific domains like health and medicine, physics, biology etc.Experience delivering solutions such as predictive models in domains where harnessing sensitive data ethically is core to the impact of the AI.Powered by JazzHR
Company:
Ellison Institute Of Technology
Posted:
June 20 on The Resumator
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Head of Scientific Operations is a Jobs Head of Scientific Operations Job at Ellison Institute of Technology located in Oxford OXF. Find other listings like Head of Scientific Operations by searching Oodle for Jobs Head of Scientific Operations Jobs.
Head of Scientific Operations is a Jobs Head of Scientific Operations Job at Ellison Institute of Technology located in Oxford OXF. Find other listings like Head of Scientific Operations by searching Oodle for Jobs Head of Scientific Operations Jobs.