Qualitative Researcher

£48,750 - £48,750

Job Description

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Qual expereince 


Up to five points


Research assistant to support specific research studies on palliative dementia care, including update of systematic reviews (data extraction, analsyis, reporting and publication), and setup of new national network for dementia care


Systematic reviews: data extraction of identified eligible published evidence; update results including tables and figures and narrative reporting; and preparation for publication. One review is being updated on 'Service level interventions to promote quality of life for adults with dementia in the last 1 or 2 years of life,, and their family carers', and 2nd review results reporting and discussion on 'Individual level interventions for physical wellbeing to promote quality of life for adults with dementia in the last 1 or two years of life'. Supporting setup of new ESRC funded national dementia network on inequalities in dementia care. Coordination of meetings with community partners, lived experts and researchers, planning delivery of activities for year 1, and network promotion e.g. website, social media


Cicely Saunders Institute, Denmark Hill Campus King's College London and remote working


Esstential - BSc in health or social sciences, or relevant area Desirable - MSc in health or social sciences, or relevant area


Expertise in health or social sciences with relevant BSc, and preferrably MSc. Experience in supporting/conducting systematic reviews using narrative synthesis - data extraction and results reporting Experience of supporting research studies in the health or social sciences Interest in long-term conditions, dementia and/or palliative care, desirable



This is a position intended for a current KCL student in computer science, informatics or applied statistics or similar subject areas. 

The purpose of the role is to contribute to writing a computing application written in Python that is currently under development.  The computer application will provide a graphical interface for applying topic modelling and searching for key terms in student dissertation projects.  The end goal is to develop a tool that can provide insights into the content of dissertation projects that students are completing on different degree programmes within the faculty. 

This job will involve attending the KCL Denmark Hill campus in-person two days a week initially - there may be some flexibility to work remotely as the project progresses.  This is a discrete project with an assigned maximum number of hours available in the budget (a total of 98 hours).  There can be some flexibility in when/how these hours are worked. However, hours worked cannot exceed 20 hours in any one week.  It is envisaged that the candidate will work two to three days per week on the project for around 7 weeks.  The successful candidate will work closely with the Project Manager, Dr Samuel Evans.

The job application process will involve a short interview.

Key responsibilities:

  • To work under the direction of the project manager (Dr Samuel Evans) to generate a working computer application coded in the Python programming language.

  • To contribute to project planning and delivery.

  • To manage administrative duties related to the project.

  • To liaise with project collaborators.


  • Studying for a BSc or MSc in computer science, informatics, applied statistics or a related area.


The skills and experience required are as follows.



  • Excellent computing skills in Python.

  • Good communication skills.

  • Ability to work independently when required.

  • Good time management and prioritisation skills.


  • Experience/knowledge of applying topic modelling and natural language processing techniques to text data. 

  • Experience of using the Tkinter Python library.

  • Experience in compiling Python software for cross-platform applications.

  • Experience in using Github.

We can only consider candidates who can begin work on the week commencing the 12th of august. 

Shortlisted candidates will be invited to an assesment day onsite on the week commencing the 22nd of July.

Please note that the end date for this role may change depending on workload. 

Roles and responsibilities 

  • Provide professional and courteous support to students and other callers via telephone, guiding them through the clearing process and addressing their inquiries.

  • Assist applicants with the completion of application forms, ensuring accuracy and compliance with university policies and procedures.

  • Act as a knowledgeable resource, providing information on available courses, admission requirements, and any other relevant details.

  • Maintain accurate and up-to-date records of interactions and application progress.

  • Collaborate with the admissions team to ensure a smooth and efficient clearing process.

  • Handle confidential information in a secure and responsible manner.

  • Support admissions officers on ad-hoc tasks


Please see above 


  • Previous experience in a customer service role, demonstrating excellent interpersonal and communication skills.

  • Ability to communicate effectively over the telephone / emails with a clear and professional voice.

  • Strong attention to detail and organizational skills to handle multiple tasks and applications simultaneously.

  • Familiarity with university admissions processes or clearing procedures is a plus.

  • Proficiency in using computer database and software applications relevant to the role.

  • A commitment to providing outstanding service and maintaining a positive and helpful attitude.