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Digital Therapy Narrator

£25,526 - £25,526
 

Job Description

SlowMo is a new, digitally supported psychological therapy that aims to reduce fears of harm from others (also known as paranoia) and promote living well. It is designed to address key barriers to improving outcomes in psychosis - treatment access, engagement, and effectiveness, particularly for marginalised groups. SlowMo is the first digitally supported therapy for psychosis to demonstrate evidence of uptake, engagement, efficacy, and positive user experience across a diversity of people in a large multisite randomised control trial.



We are now doing a Wellcome Trust funded study to investigate whether SlowMo can be delivered in routine NHS care, outside of a clinical trial. To support this evaluation, our team is currently developing version 2 of the software, incorporating recommendations from trial participants about how to improve its user experience.



These posts will support the production of videos that are included in the 11 SlowMo therapy sessions. The videos provide information about what worries are like, what keeps them going, and what can help. There is one general narrator and 3 character narrators. Each narrator will be required to deliver voiceovers for approximately 11-15 videos, that are roughly 30 - 90 seconds in length. Voiceover artists will be provided with the scripts, and asked to record and then transfer the audio files digitally to the research team. The work will be coordinated by Dr Amy Hardy (SlowMo2 Study Lead). There will be an initial meeting to discuss the brief and role in more detail, with the possibility of follow-up meetings, if required. The work will be in 3 stages.




  • Stage 1. Initial voiceover recorded for first pilot set of videos (1 video per narrator, for 1 session) to be completed asap, early August latest.

  • Stage 2. Majority of voiceovers recorded (approximately 10 videos per narrator, for 8 sessions) to be completed by mid-September latest.

  • Stage 3. Final voiceover recording for (approximately 2 videos per narrator, for 2 sessions) to be completed by end of the year latest. 



*Please note the hours per week box is not accurate - hours per week will fluctuate during the duration of the posts. It is anticipated that the work will not be time consuming, given the brevity of the videos, and can be fitted around the narrator's schedule (as long as submission deadlines are met) and similarly any meetings can be arranged at mutually convenient times. Narrators will be required to monitor the hours they spent working on the project, and submit timesheets for approval.



Responsible to: Dr Amy Hardy (Clinical Psychologist Lecturer & Consultant Clinical Psychologist), Institute of Psychiatry, Psychology & Neuroscience, King’s College London. Email: amy.hardy@kcl.ac.uk.




Qualifications

N/A.



Skills

Ability to deliver voiceover narration in a naturalistic style, and be responsive to feedback regarding pace and tone.



Able to access and use audio recording equipment, produce high quality audio, and to label and send files digitally. 



Good written and oral communication skills.



Good organisational and time management skills.



Reliable, enthusiastic, and highly motivated.



Lived experience, training or clinical experience in mental health is desirable, particularly paranoia and psychosis. 

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The primary responsibilities of the research assistant will involve overseeing participant recruitment and conducting on-site eye-tracking data collection sessions at the Waterloo Bridge Wing building, located on the Waterloo campus. Additionally, the RA will handle initial data trimming and processing. The breakdown of allocated hours for each task is as follows:

 

15 hours for preparation, training, and meetings.

40 hours for testing: accommodating 40 participants with sessions lasting 1 hours each.

5 hours for data processing.

 

The research assistant will receive comprehensive training and mentoring to successfully carry out these responsibilities.

 

Interviews will take place mid-January.

 



Qualifications

BA/MA in Linguistics, Psychology or related discipline. 

 



Skills

Essential:

Familiarity and ability to use Microsoft packages (e.g., good Excel command).

Undergraduate level knowledge in linguistics, psychology and/or education research or related field.

 

Desirable:

Interest in eye-tracking methodologies.

Experience with statistical analysis applied to language-related research.

 

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The primary responsibilities of the research assistant will involve overseeing participant recruitment and conducting remote participant in two testing sessions in a battery of tasks (assessment of receptive vocabulary, production of specific syntactic structures and elicitation of spontaneous production data). Additionally, the RA will handle initial data trimming and processing. The breakdown of allocated hours for each task is as follows:

1. 30 hours for preparation, training, and finalizing materials.

2. 100 hours for testing: accommodating 40 participants in two sessions lasting 1 hour each hours, alongside organization of the data from testing sessions for 30 minutes. In total, the RA will spend 2.5 hour per participant.

3. 20 hours for initial data trimming.

 

The research assistant will receive comprehensive training and mentoring to successfully carry out these responsibilities.

 

Interviews will take place mid-January.

 



Qualifications

BA/MA in Linguistics, Education, Psychology or related discipline. 

 



Skills

Essential:

Familiarity and ability to use Microsoft packages (e.g., good Excel command)

Undergraduate level knowledge in linguistics, psychology and/or education research or related field

Excellent working proficiency in both Catalan and English

DBS certificate 

 

Desirable:

Experience working with children

Good organisational skills

Social awareness and good communication skills

Experience in research methodologies

 

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Qualifications

A PhD.



Skills

Essential:

Knowledge of research into gender inequality in STEM education.

Experience of conducting semi-structured interviews.

Experience of the analysis of interview data.

Experience of writing papers related to gender inequality in STEM education.

 

Desirable:

Experience of preparing materials for semi-structured interviews.

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