Duties and responsibilities:
Identify the selected enumeration areas.
Locate household structures in study enumeration areas and performing a household listing.
Obtain and document informed consent from study participants prior to data collection.
Conduct all study surveys.
Edit and submit data for completed interviews for daily cross-checking and verification by the designated team leader.
Attend all scheduled training sessions and progress meetings.
Ensure that data integrity is always maintained while minimizing errors in data gathering and transmission.
Ensure the safety and responsible handling of all study tools and equipment provided for the interviews.
Communicate promptly challenges and issues arising from the field to the team leaders and research team.
Timely completion of scheduled daily activities filing reports of work done.
Assist the research team in other project-related activities.
Minimum qualifications
Must have a Kenya Certificate of Secondary Education (KCSE) certificate, with a minimum grade of C Plain.
Fluency in Kiswahili and English, both written and oral.
Experience in data collection using electronic data collection platforms such as survey CTO or Open Data Kit (ODK).
Strong interpersonal and communication (spoken and written) skills.
Proven past working experience on quantitative research projects including nation-wide household surveys.
Must be a current resident of one of the selected 16 counties.
Ability to adhere to protocols and guidelines for data collection.
Be available to work full time on the project for the duration of the study.
The candidates should be:
Residents of the counties listed above: Kilifi, Mombasa, Garissa, Marsabit, Meru, Kitui, Nyeri, Kirinyaga, Turkana, Trans-Nzoia, Nandi, Laikipia, Busia, Migori, Nyamira and Nairobi. (County of residence should be clearly indicated on the cover letter).
Prepared to work full time on the project for the duration of the data collection.
Flexible and available to work odd hours (when necessary), under minimal supervision.
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Application documents should include:Interested candidates are invited to submit the above documents via email to cvs@flexi-personnel.com by 5th March 2024. Please indicate on the subject line of the email, ‘Quantitative Field Interviewer, DaYTA Project – xxxxx County’ as per the applicant’s respective area of interest. We regret that only shortlisted candidates will be contacted.Interested candidates are invited to submit the above documents via email to cvs@flexi-personnel.com by close of business 5th March 2024. Please indicate on the subject line of the email, ‘Health Facility Data Abstractor – MADIVA’. We regret that only shortlisted candidates will be contacted.
Apply via :
cvs@flexi-personnel.com
