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Evaluation Support Officer

STFC - The Science and Technology Facilities Council

Location: Harwell, Oxford
Salary: £37,841 to £40,301 pro rata if applicable
Hours: Full Time, Part Time
Contract Type: Permanent
Placed On: 31st October 2025
Closes: 23rd November 2025
Job Ref: 1506

Due to the requirement of obtaining an enhanced security clearance for this role, we are only able to accept applications from persons who have been resident in the UK for the last 5 years. 

The National Quantum Computing Centre (NQCC) is the UK’s national laboratory dedicated to accelerating the development and adoption of quantum computing.

Headquartered in Oxfordshire, the NQCC works across government, industry, and academia to address the engineering challenges of scaling quantum computers and to build a quantum-ready economy. Its mission is to enable the UK to solve complex societal and industrial challenges by harnessing the transformative potential of quantum computing.

Benefits: 

Our reward package includes a flexible working scheme, a Career Average Revalued Earnings pension scheme, 30 days annual leave allowance and several other benefits. 

The Role:

Responsible for planning and measuring the impact of our activities, supporting accountability and assurance as a publicly funded body. Evaluation feeds into organisational setup, strategy development, data collation frameworks and qualitative and quantitative reporting. It provides evidence of progress towards organisational objectives and informs future decision making. In doing this, it draws on a range of data sources and works collaboratively with all functions across the NQCC.

Responsibilities:

You will be responsible for monitoring activities with a view to collecting relevant information, maintaining and developing the NQCC Benefits Monitoring & Evaluation (BM&E) database and related datasets to support high-quality reporting and analysis. Working closely with project managers, team members, and partners to ensure timely and accurate data collection, validation, and organisation from both qualitative and quantitative sources.

  • Engaging with stakeholders to collect information and ensure data meets monitoring and reporting needs.
  • Define and track indicators for project benefits and performance.
  • Updating and curating structured datasets to support insights and evaluation.
  • Supporting the development of dashboards, reports, and performance indicators.
  • Develop and maintain benefit monitoring and reporting tools and processes to ensure that benefits are tracked and reported in a timely and accurate manner.
  • Contributing to project documentation, templates, and best practices.
  • Identifying opportunities for process improvement and innovation in data management.
  • Assisting the Programme Evaluation Manager and wider Programme Delivery team in delivering a robust evaluation function and programme delivery.

Person Specification:

  • Educated to degree level in a relevant field (e.g., science, engineering, business, management, or related discipline) or equivalent experience.
  • Demonstrable ability to generate datasets from a variety of sources of structured and unstructured information.
  • Strong attention to detail and an ability to capture and maintain both qualitative and quantitative information in a structured way, enabling decision-making
  • Proven experience in monitoring and supporting activities and/or projects.
  • Understanding of approaches to data analysis to identify insights, trends, and patterns from quantitative as well as qualitative datasets.
  • Strong organisational skills with the ability to work independently and collaboratively and to manage multiple tasks and prioritise effectively to meet deadlines.
  • Demonstrated enthusiasm and commitment to the NQCC's mission, vision and values and a desire to contribute to the goals.
  • Advanced user of Microsoft Excel and Access, or demonstrable ability to upskill independently. 
  • Understanding of quantitative and/or qualitative data evaluation software and/or data visualisation tools (e.g., Python, R, Power BI, Tableau, MS Access). 

To apply, please click the 'Apply' button above.

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