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Job Description
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).
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- 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.
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- Sound knowledge of Microsoft Office suite including MS Word, Excel, PowerPoint, Teams, SharePoint and Outlook and ability to learn new systems quickly and competently.
Supervising COMPASS-MS 2 hours a week for
Qualifications
DclinPsych
Skills
Existing clinical psychologist expertise
OSCE Invigilation
Tuesday 20th May 2025 & Wednesday 21st May 2025- Woolwich.
Applicants must NOT be part of the MBBS course at King's College London or the Faculty of Life Sciences and Medicine.
Key responsibilities
- To support the Lead Invigilator in carrying out their duties by attending briefing sessions prior to and following exam sessions as required.
- To assist with setting up the circuit(s): putting out clipboards, sharp pencils, and rubbers inside each station.
- Assist with the set-up of equipment (training will be given for the setting up of props or the resetting of station equipment).
- To assist students before the exam begins, ensuring that all students are correctly located and ready for the exam.
- To invigilate the examination circuits and guide students between stations during the exam.
- Direct examiners, patients, simulated patients to the correct stations.
- Be the first response for examiner questions or concerns, raising issues with the lead invigilator or senior examiner quickly and efficiently.
- To vigilantly monitor the room/allocated area throughout the exam in session whilst not disrupting the candidates; and ensuring a calm environment conducive to supporting students to be successful in their exams.
- To ensure that noise levels on the examination circuit are kept to a minimum and that examination conditions are maintained throughout
- To promptly report any incidents that may impact a candidate's performance to the Lead Invigilator, Circuit Lead (Marshall), OSCE Site Lead, or Senior Examiner.
- To ensure that, at the end of the exam, all iPads and materials are collected and returned to the relevant place according to set procedures as advised by the Lead Invigilator.
Qualifications
N/A
Skills
- Must be available for both days (Tuesday 20th May 2025 & Wednesday 21st May 2025 )
- Available for a prompt start at 08:00 to 17:30.
- Professional.
- Observant.
- Shows initiative.
- Handles confidential documents responsibly.
- Available for the full duration of the exam.
- Applicants must NOT be part of the Physiotherapy course at King's College London or the Faculty of Life Sciences and Medicine.
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