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Research Impact Officer

 

Job Description

You will be educated to graduate level and will have experience of working to support research impact in a Higher Education environment. You will need excellent interpersonal, influencing and communication skills and a strong track record of forming successful working relationships. You will be capable of working with people at all levels of seniority. This will be working with the Healthier Working Lives project. 



To provide comprehensive support for the development and delivery of Research Impact at the Kings College London, including preparation for future REFs, Impact Case Study. 



To assist with the production of high quality, evidence‐based Impact Case Studies for the REF exercise in line with REF guidelines. 



Support the development of the Institutional research impact pages and other communications channels, drawing on contributions from the wider Faculty-based impact managers and coordinators, ensuring that all Faculties are appropriately represented and that the University’s profile at regional, national, and international levels is maximised.



Excellent presentation and interpersonal skills, with the ability to communicate, negotiate and influence effectively, as appropriate, at all levels, creating professional relationships with researchers, administrators and senior staff in the University and externally.




Qualifications

An honours degree or equivalent



Skills

A strong understanding of higher education research and Research Impact in its widest context, including an awareness of how impact feeds into the Research Excellence Framework.



Previous administrative experience of the organisation and implementation of events, activities and programmes, preferably within a research environment.



Experience of evaluating the success of activities and reporting (on success or progress)



Strong writing skills with the ability to convey information clearly and concisely to non-expert audiences



Excellent presentation and interpersonal skills, with the ability to communicate, negotiate and influence effectively, as appropriate, at all levels, creating professional relationships with researchers, administrators and senior staff in the University and externally



An ability to understand and analyse complex research and data in order to draw out key messages and conclusions



Ability to work independently, use initiative and complete tasks without close supervision

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  • Acting as secretary to undergraduate and postgraduate Faculty Assessment Boards, Module Assessment Sub Boards of Examiners, and Appeal Boards, and to support the servicing and organisation of a large volume of Faculty Assessment Board meetings.
  • Ensuring that meetings attended are conducted in accordance with the College regulations and that decisions made at those meetings are recorded and communicated as appropriate.
  • Providing support and guidance to Faculty Assessment Board and Assessment Sub Board Chairs, with regard to assessment regulations. 
  • Preparing and distributing documents for Faculty Assessment Board meetings.
  • Liaising with a range of stakeholders, including academic colleagues, to maintain key data sets and files. 
  • To respond to queries related to a comprehensive enquiry service for members of academic staff, administrative staff and students, either on the telephone, in writing or in person.


Qualifications
  • Educated to Degree Level or Equivalent


Skills
  • Excellent administrative skills, with high attention to detail. 
  • Experience of committee servicing.
  • Understanding of regulatory issues in a Higher Education context.
  • Ability to develop, articulate and implement policies and procedural systems.
  • A proven ability to organise, and plan ahead effectively.
  • Good interpersonal, communication and presentation skills.
  • Ability to work collaboratively with a variety of stakeholders.
  • Knowledge of policies and procedures and their application in a Higher Education context. 
  • Experience of working in Higher Education.
  • Experience of minute-taking and servicing meetings.
  • Experience of providing guidance and training on complex policies and procedures, to a wide range of audiences. 
  • Experience of compiling and interpreting management information. 
  • Sound knowledge of Microsoft Office suite including MS Word, Excel, PowerPoint, Teams, SharePoint and Outlook and ability to learn new systems quickly and competently.

Job Title: Research Assistant ? Benchmarking Large Language Models (LLMs) in Clinical Question-Answering

Project Overview: We are seeking a motivated and detail-oriented Research Assistant to support our research project focused on benchmarking Large Language Models (LLMs) in real-world clinical question-answering tasks. The project involves creating high-quality clinical datasets and systematically evaluating the performance of various LLMs to determine their efficacy and accuracy in clinical decision-making scenarios.

Responsibilities:

Assist in the design, creation, and curation of clinically relevant question-answer datasets derived from real-world clinical scenarios.

Perform systematic literature reviews to identify relevant benchmarks and metrics in clinical NLP evaluations.

Conduct model evaluations, including running experiments, data preprocessing, and analyzing model outputs.

Document experimental results and contribute to writing research reports and scientific papers.

Collaborate closely with the research team to ensure data integrity and methodological rigor.



Qualifications

Bachelor's or Master's degree in Computer Science, Data Science, Biomedical Informatics, Computational Linguistics, or a related field.



Skills

Skills:

Bachelor's or Master's degree in Computer Science, Data Science, Biomedical Informatics, Computational Linguistics, or a related field.

Prior experience or coursework in Natural Language Processing (NLP), Machine Learning (ML), or Healthcare Informatics.

Familiarity with Python and ML frameworks/libraries (e.g., Hugging Face, PyTorch, TensorFlow).

Strong organizational, analytical, and communication skills.

Ability to work independently and collaboratively in an academic research environment.

Preferred Experience:

Previous experience working with clinical datasets or clinical NLP projects.

Experience evaluating language models (e.g., GPT models, BERT).

Understanding of clinical terminologies (e.g., SNOMED, ICD-10, UMLS).

Supervising COMPASS-MS 2 hours a week for 



Qualifications

DclinPsych



Skills

Existing clinical psychologist expertise 

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