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Aga Khan University
Consultant – Qualitative Researcher (Qualitative Coder And Analyst) - Kilifi
Kilifi, Kenya
Aga Khan University
Consultant – Qualitative Researcher (Data Collection And Transcription) - Kilifi
Kilifi, Kenya
KEMRI -Wellcome Trust Research Programme
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Christian Blind Mission (CBM)
CLOSEDProgramme Officer-Kilifi
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CLOSEDProduction Engineer
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Kilifi, Kenya
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KEMRI-Wellcome Trust Research Programme
CLOSEDProject Manager
Kilifi, Kenya
Consultant – Qualitative Researcher (Qualitative Coder And Analyst) - Kilifi
Closing: Jul 14, 2024
8 days remainingPublished: Jul 4, 2024 (3 days ago)
Job Requirements
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Job Summary
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The purpose of this assignment is to review transcribed/translated transcripts (IDIs, FGDs, & KIIs), code, and provide coding summaries using NVIVO as per the provided codebook for AIMIX Project. The AIMIX project (Inclusive Artificial Intelligence for Obstetric Imaging in Resource Limited Settings) has a qualitative component that involves collection and analysis of qualitative data to ensure that the development and implementation of imaging AI technologies align with local ethical values and social contexts as one of its objectives.
Requirements
- Bachelor’s degree in social sciences, Anthropology, Public Health, or a related field.
- At least 3 years of experience in qualitative data coding and analysis.
- Proficiency in using qualitative data analysis software specifically NVivo.
- Strong analytical and critical thinking skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a multidisciplinary team.
- Attention to detail and strong organizational skills.
- Proficiency in English is preferred.
- Knowledge of ethical guidelines and protocols for research involving human participants.
Expectations
- Work closely with the study coordinator who will be available to guide your work.
- Attend all planned training for the study team as required by the study coordinator
- Undertake to perform the contractual engagement with the highest standards of professional and ethical competence and integrity.
- Submit quality work.
- You will be expected to maintain strict confidentiality of the study material/ documents provided for the purposes of this task.
- You will, at all times, during the period of your contract safeguard the reputation of Aga Khan University
- Your payment will be subject to Withholding Tax deduction as per Kenyan Law.
- You will be expected to provide AKU-EA finance office with your PIN, bank details to facilitate your payment.
- Your payment will be subject to provision of signed schedule /invoice to the AKU-EA finance office confirming work done in line with the project goals.
Applications together with detailed Curriculum Vitae, names of three referees, telephone contact, e-mail address and copies of certificates and testimonials should be sent to the Manager, Recruitment, Aga Khan University Hospital, Nairobi. P. O. Box 30270-00100, NAIROBI or by email to [email protected]. Applications by email are preferred.
Please indicate the title of the position on your application.
Responsibilities
The purpose of this assignment is to review transcribed/translated transcripts (IDIs, FGDs, & KIIs), code, and provide coding summaries using NVIVO as per the provided codebook for AIMIX Project. The AIMIX project (Inclusive Artificial Intelligence for Obstetric Imaging in Resource Limited Settings) has a qualitative component that involves collection and analysis of qualitative data to ensure that the development and implementation of imaging AI technologies align with local ethical values and social contexts as one of its objectives.
Requirements
- Bachelor’s degree in social sciences, Anthropology, Public Health, or a related field.
- At least 3 years of experience in qualitative data coding and analysis.
- Proficiency in using qualitative data analysis software specifically NVivo.
- Strong analytical and critical thinking skills.
- Excellent written and verbal communication skills.
- Ability to work independently and as part of a multidisciplinary team.
- Attention to detail and strong organizational skills.
- Proficiency in English is preferred.
- Knowledge of ethical guidelines and protocols for research involving human participants.
Expectations
- Work closely with the study coordinator who will be available to guide your work.
- Attend all planned training for the study team as required by the study coordinator
- Undertake to perform the contractual engagement with the highest standards of professional and ethical competence and integrity.
- Submit quality work.
- You will be expected to maintain strict confidentiality of the study material/ documents provided for the purposes of this task.
- You will, at all times, during the period of your contract safeguard the reputation of Aga Khan University
- Your payment will be subject to Withholding Tax deduction as per Kenyan Law.
- You will be expected to provide AKU-EA finance office with your PIN, bank details to facilitate your payment.
- Your payment will be subject to provision of signed schedule /invoice to the AKU-EA finance office confirming work done in line with the project goals.
Applications together with detailed Curriculum Vitae, names of three referees, telephone contact, e-mail address and copies of certificates and testimonials should be sent to the Manager, Recruitment, Aga Khan University Hospital, Nairobi. P. O. Box 30270-00100, NAIROBI or by email to [email protected]. Applications by email are preferred.
Please indicate the title of the position on your application.
- Coding & Summaries
- Code qualitative data from interviews (IDIs, KIIs and FGDs) using NVIVO qualitative data analysis software
- Work with the SC to refine coding frameworks and thematic categories based on the research objectives and data collected.
- Identify key themes, patterns, and insights from the data
- Prepare coding summaries and insights from the data
- Collaborate with the research team to ensure consistency and accuracy in coding and analysis.
- Participate in regular team meetings to discuss progress, share insights, and address any challenges.
Applications submitted via Fuzu have 32% higher chance of getting shortlisted.