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Data Analyst

£48,399 - £48,399
 

Job Description

Data analyst to clean and analyse real-world clinical data as part of our annual data monitoring process. Part of large project looking at the natural history of sickle cell disease: data includes lab values, reports, clinical history and quality of life questionnaires. Data in redcap database will need downloading to analysis software e.g. SPSS. Applicant required to do basic descriptive statistics and write report similar to last year's report of about 60 pages. Working alongside lead study investigator and external research sites.



Qualifications

Scientific background. Epidemiology / statistics is desirable.



Skills

Essential skills:

Data analysis, analysis software e.g. SPSS, previous experience clinical data, report writing.  

Desirable skills:

Clinical background. Experience with working on multi-site data study/database.

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The Research Assistant will undertake a range of duties, including: - Conducting research using basic techniques under supervision. - Assisting in planning and implementing specific research activities. - Assisting in data collection, including interviews and focus groups. - Contributing to problem-solving, referring complex issues to senior staff. - Supporting the presentation of research progress and outcomes to stakeholders. - Documenting results and contributing to publications as required. This role requires excellent communication skills, a keen interest in qualitative research, and an empathetic approach to working with neurodivergent populations.

About this project:

Eye-tracking technology has emerged as a valuable tool in understanding cognitive processes, particularly in neurodivergent populations. However, despite its widespread use, there's a growing recognition that traditional eye-tracking methodologies may not adequately capture the perspectives of neurodivergent individuals, especially regarding Social Attention?defined as the spontaneous allocation of attention to social stimuli and interactions.

 

Our study exploring the perspective of neurodivergent children and their families on eye-tracking. This project aims to rethink eye-tracking to authentically capture neurodivergent perspectives by engaging neurodivergent children and their families with a parent discussion group and playful activities designed to help children highlight their views and priorities.

We are looking for one student research assistant, to help with smoothing running of the project, example tasks involve: communicating with participants, to arrange study time, to understand what they need; to be involved in the study, note taking.

About this role:

This project is a qualitative project, involves in working with vulnerable group of families. Therefore, we look for someone who is empathetic and patient, a desire to work with children, great communication skills, keen interest in neurodivergent research, passionate about qualitative research, an open-minded approach towards neurodivergent population.

This role is funded at an hourly rate of ?13.64 / hour.

Application materials:

Please write a maximum 500 words personal statement on why you are suitable for this role. In addition, we?d like to see your overall grades, your grades for the following modules: cognitive & biological psychology, developmental psychology, as well as research methods.

Interested?

Please email us: Dr. Teresa Del Bianco: t.delbianco@londonmet.ac.uk or Dr. Yanbo Hu: y.hu@londonmet.ac.uk 



Qualifications

See JD 



Skills

See JD 

The post holder will be responsible for establishing a payment model for the storage of samples long term



Qualifications

none



Skills

the post holder requires advanced knowledge of excel spreadsheets and financial modelling

This position entails working as a research assistant for a study that investigates the processing of non-standard grammatical constructions in speakers of British English using eye-tracking while reading. The project is led by Eloi Puig-Mayenco from the School of Education, Communication, and Society at King?s College London.

 

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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