Research Assistant

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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ORE Invigilator @ FoDOCS

 

Date: Thursday 24th April 2025

Shift: 08:00 - 15:00 (7 hours, 30 minutes paid break included)

Location: New Hunts House, Guy's campus

 

If you are a offered this shift, you will be sent an offer on KTB by Tuesday 15th April 2025. Unfortunately, we will not be able to respond to those that are unsuccessful.

 

If you apply, please ensure that you include the following information:

  • if you are a student (if yes, what programme and faculty (and university if not KCL))
  • if you have any invigilating experience (not necessary for this role)
  • if you have any working hour restrictions (this will be noted on your visa conditions)

 

* IMPORTANT *

  • FoDOCS students cannot apply

 

If you have any questions, please email oreexams@kcl.ac.uk



Qualifications

FoDOCS students cannot apply



Skills

FoDOCS students cannot apply

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