Survey Statistician – KENPHIA II

Full Time


Survey Statistician – KENPHIA II

Position: Survey Statistician

Type: Full Time

Location: Nairobi

Reports to: Data Systems and HI Advisor & Director KENPHIA II

Duty Station: Nairobi

JOB DESCRIPTION – Survey Statistician

Job Summary:

Are you a skilled statistician seeking an impactful opportunity? Join Ciheb as a Survey Statistician for the second Population-based HIV Impact Assessment (KENPHIA II) in Kenya. Your expertise will be pivotal in collecting, reviewing, and reporting on survey data, as well as developing insightful statistical models. Collaborating with key stakeholders, you’ll contribute to Kenya’s health data landscape. This role reports to both the Data Systems and HI Advisor and the Director of KENPHIA II.


Key functions:

  • Stakeholder Collaboration: Engage with MoH, KNBS, CDC, and other stakeholders to address statistical challenges and enhance project implementation.
  • Precision Estimations: Utilize survey methodology, demography, and geostatistical modeling to produce precise national and subnational population estimates aligned with protocol objectives.
  • Sampling Expertise: Lead the design and execution of sampling and weighting strategies, incorporating geospatial and geostatistical techniques.
  • Capacity Enhancement: Identify knowledge gaps and train data management teams, imparting expertise in sampling frame construction, design, calculations, and selection.
  • Technical Support: Provide KENPHIA II with sampling procedure descriptions, statistical advice, and expertise in constructing key control data files.
  • Geographic Data Management: Collaborate with Data Systems and HI Advisor to facilitate effective geographic data handling, including mapping, listing, and control data production.
  • Insightful Communication: Synthesize findings into written documents, presentations, country reports, and peer-reviewed papers.
  • Adaptive Learning: Continuously learn and apply advanced statistical techniques, contributing to the field of international health, demography, and HIV/AIDS research.

Additional Responsibilities:

  • Adaptive Learning: Continuously learn and apply advanced statistical techniques, contributing to the field of international health, demography, and HIV/AIDS research.
  • Publication Proficiency: Showcase your expertise by publishing survey research that employs statistical techniques, contributing to HIV/AIDS-related studies.


  • Educational: Master’s or PhD in Mathematics, Statistics, or Statistical Demography.
  • Technical Proficiency: Demonstrated experience in large-scale population-based surveys and data analysis using Python, R, STATA, or SPSS.
  • Expertise: 5 years of experience supporting large surveys, applying statistical techniques (central tendency, dispersion, correlation, etc.), and designing survey samples in various contexts.
  • Skills: Proficiency in designing samples, calculating weights, and assessing sampling errors for surveys.
  • Capacity Building: Experience in enhancing sampling capacity and employing advanced statistical techniques.
  • Health Focus: Background in international health, demography, statistical analysis, and HIV/AIDS studies.
  • Publication: Strong record of publishing statistical research in survey and HIV/AIDS domains.

How to Apply:

If this role resonates with you, please submit your application, including a cover letter and an updated CV featuring three professional referees, to by September 4, 2023. In the subject line, kindly indicate “Survey Statistician.”

Expert Tips To Be A Successful Applicant:

To thrive in this role, focus on these key aspects:

  • Showcase your academic qualifications and technical proficiency.
  • Highlight your experience in large-scale surveys and advanced statistical techniques.
  • Emphasize your ability to collaborate with stakeholders and provide technical support.
  • Discuss your publication record in survey research and HIV/AIDS studies.
  • Demonstrate your dedication to continuous learning and adaptive expertise.
  • Craft a compelling cover letter that reflects your passion for contributing to Kenya’s health data landscape.

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