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22 Entry Level NGO Data Jobs – RAMOS Supervisors at Baylor College of Medicine Children’s Foundation
Job Title: RAMOS Supervisor (22 Entry Level Data Jobs)
Organization: Baylor College
of Medicine Children’s Foundation
of Medicine Children’s Foundation
Duty Station: Uganda
Reports to: Project M &
E Officer
E Officer
About US:
Baylor College of Medicine Children’s Foundation -Uganda
(Baylor-Uganda) is an indigenous not-for-profit child health and development
organisation affiliated to the Baylor College of Medicine International
Paediatric AIDS Initiative (BIPAI), a Network of paediatric HIV/AIDS care and
treatment Children’s Clinical Centres of Excellence and international program
offices in 11 countries across Africa, Eastern Europe and North America.
(Baylor-Uganda) is an indigenous not-for-profit child health and development
organisation affiliated to the Baylor College of Medicine International
Paediatric AIDS Initiative (BIPAI), a Network of paediatric HIV/AIDS care and
treatment Children’s Clinical Centres of Excellence and international program
offices in 11 countries across Africa, Eastern Europe and North America.
About SMGL Project:
Baylor-Uganda works with partners in implementing the Saving Mothers
Giving Life (SMGL) project in Kabarole, Kamwenge and Kyenjojo Districts since
2012. The goal during a 5-year project has been to reduce maternal mortality by
50%. As the project draws to a close, a summative evaluation in which all
households in the 3 districts will be visited to enumerate the entire
population by age and sex, the reproductive history of women aged 12-49 years
to enable calculation of indirect estimates of lifetime fertility,
documentation of the total number of births that occurred in specified
interval, and direct measurement of the general and age-specific all-cause
mortality.
Giving Life (SMGL) project in Kabarole, Kamwenge and Kyenjojo Districts since
2012. The goal during a 5-year project has been to reduce maternal mortality by
50%. As the project draws to a close, a summative evaluation in which all
households in the 3 districts will be visited to enumerate the entire
population by age and sex, the reproductive history of women aged 12-49 years
to enable calculation of indirect estimates of lifetime fertility,
documentation of the total number of births that occurred in specified
interval, and direct measurement of the general and age-specific all-cause
mortality.
Job Summary: The RAMOS Supervisor will be coordinating
and supervising district wide data collection to work with village data collectors
across the 3 districts to deliver quality data to assess the impact of the
project. They will coordinate and supervise data collection by Village Data
Collectors (VDCs) at Household Level.
and supervising district wide data collection to work with village data collectors
across the 3 districts to deliver quality data to assess the impact of the
project. They will coordinate and supervise data collection by Village Data
Collectors (VDCs) at Household Level.
Key Duties and
Responsibilities:
Responsibilities:
- Participate in training of parish level
supervisors and the VDCs at an appropriate time, Liaise with the RAMOS
exercise Team lead for availability of data collection materials at all
levels as necessary. - Provide the field teams with data
collection materials (questionnaires, pens etc.) at the start of each day - Provide the field teams with technical
support in the course of everyday as required - The jobholder will collect and review
filled questionnaires at the end of every field day - Send feedback to the teams on received
questionnaires and follow up the expected action - Send timely feedback to the district
supervisors on progress of the exercise regularly - Submit the validated questionnaires to the
district supervisors - Work closely with project team members to
ensure all villages are covered timely as per schedules and within the
budget parameters - Track and keep complete and up to date
status of completed households and estimated pending households per
village - Perform any other duties as may reasonably
be assigned from time to time during this exercise.
Qualifications, Skills and
Experience:
Experience:
- The applicants should hold Bachelor’s
Degrees in Statistics or related fields - Previous experience in
coordinating/supervising district household surveys. - Excellent planning and organizational
skills - Excellent communication skills.
- Computer literacy skills i.e. proficiency
in Applications. - Fluency in Runyakitara
- Good team player
- Analytical skills
- Good networking and partnership skills
- Excellent oral and written communication
skills - The applicant must be dynamic
- Highly persuasive and convincing
- Self-motivated and able to demonstrate
high initiative.
How to Apply:
All suitably qualified and interested candidates should send their
applications to the address below including a detailed CV demonstrating
possession of the job requirements, current position, names and addresses of
three referees i.e. email and phone addresses, copies of professional/academic
documents, email address, and day time telephone contact. The applicant must
have at most a credit 6 in Math and English and an approved ‘Medical Check-up
report from a recommended health centre’ for successful candidates is a
requirement at entry.
applications to the address below including a detailed CV demonstrating
possession of the job requirements, current position, names and addresses of
three referees i.e. email and phone addresses, copies of professional/academic
documents, email address, and day time telephone contact. The applicant must
have at most a credit 6 in Math and English and an approved ‘Medical Check-up
report from a recommended health centre’ for successful candidates is a
requirement at entry.
Send applications via E-mail to: applications@baylor-Uganda.org.
The Human Resources Manager,
Baylor College of Medicine Children’s Foundation-Uganda,
Block 5 Mulago Hospital,
P.O. Box 72052, Clock Tower, Kampala. Uganda
Deadline: 14th July 2017
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