20 Data Collection Jobs – Research Assistants – Makerere University College of Health Sciences, School of Public Health (MakSPH)

Job Title:   Research Assistants (20 Data Collection Jobs)   

Organisation: Makerere University College of Health Sciences, School of Public Health (MakSPH)

Duty Station:  Mukono, Buyende and Mbale, Uganda

Reports to: Study Coordinator

 

About US:

Makerere University College of Health Sciences, School of Public Health (MakSPH) in partnership with the Ministry of Health (MoH), under the USAID’s funded Research for Scalable Solutions (R4S) project will conduct a study titled “An exploratory, mixed-method study of family planning self-care in Nepal, Niger, and Uganda” (Self-care acceptability Study). The rational is that; as countries move towards achieving universal health coverage for Family planning (FP), there is a need to understand the perceptions, behaviors and preferences related to FP self-care and how it may be leveraged to meet FP goals in Nepal, Niger and Uganda. This information will advance understanding of commonalities and differences related to FP self-care in these different contexts. Study findings are also expected to support the thinking around measurement of FP self-care at both the country and global levels, which will help track progress in implementing FP self-care policies and programs.

 

Job Summary:  The Research Assistant will collect data and ensure successful implementation of the study.

 

Key Duties and Responsibilities:

  • Attend all interviewer training and pre testing sessions.
  • Screen the selected participants and obtain written informed consent
  • Perform field data collection and management activities including completing interviews.
  • Correctly enter all interview information in the software using the provided gadgets
  • Ensure safe custody of both manual and digital data collected and follow all quality checks provided
  • Conduct timely follow-up of study participants
  • Provide the study team with daily updates on data collection and participate in the development of daily field report
  • Prepare data collection forms, devices for data collection, supplies and equipment
  • Ensuring consistency of participant identification numbers (PIDs) for all data and labels
  • Perform any other duties relevant to this position as may be assigned from time to time through the field supervisor
  • Adhere to COVID19 infection prevention and control measures as articulated in the study’s COVID19 risk mitigation plan and as guided by Ministry of Health.




Qualifications, Skills and Experience:

  • The applicant must hold a bachelor’s degree or diploma, from a recognized higher institution of learning.
  • Worked in at least one research health study/project as a research assistant within the past 3 years.
  • Applicants should have demonstrated experience with collecting health related data using tablets/phones with software such Open Data Kit.
  • Experience in collecting data using quantitative or/and qualitative research methods
  • Possession of a Certificate in Good Clinical Practice or/and Human Subjects Protection is an added advantage.
  • Good oral and written communication skills
  • Ability to work well in a team
  • Willingness to work in fast-paced and occasionally demanding environment
  • Ability to fluently speak Luganda, Lusoga or Lumasaba

 

Note: Recruitment of Research Assistants will be based on the above-mentioned study regions. Candidates should indicate their region of interest and language as they apply for this position. Applicants should also clearly state their experience with either qualitative or quantitative data collection.

 

How to Apply:

All interested persons should send their application and updated curriculum vitae (CV) to the link below stating two referees and their contacts.  Applications should be addressed to: The Dean, Makerere University School of Public Health

 

Research Assistant application link:  Click Here

 

NB: Only short-listed candidates will be contacted

 

Deadline:  4th March 2022 by 5:00pm

 

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