Project Data Analyst/Statistician Job UoN

ADVERT REF: AD/6/284/26

The Project:

The University of Nairobi – MEI Project is undertaking collaborative research evaluating a multicountry implementation of a health system strengthening package for maternal and newborn care in hospitals. To successfully implement, the project seeks to competitively fill the above position.

The Position:

This is a full-time position based in the Department of Paediatrics and Child Health and at the KEMRI-Wellcome Trust Research Programme

Key Responsibilities:

• Participate in the design and execution of all primary quantitative analyses, impact evaluation, and effective coverage estimation.
• Develop, maintain, and govern harmonised, reproducible analytic codebases (R, Stata, Python), ensuring compatibility with federated data execution and secure in-
• country runs.
• Implement advanced data quality assurance and reproducibility processes
• Produce high-quality statistical outputs to support reporting, peer-reviewed publications, and external review
• Participate in related training activities and study workshops or meetings
• Performing any other related duty as assigned.

Qualifications

At a minimum, the DAS will have:

• Masters degree in either of the following disciplines Biostatistics, Statistics, Data Science or an equivalent qualification from a recognized institution
• At least three (3) years of research experience
• Advanced R/Stata/Python
• Demonstrated expertise in multilevel models and routine health data.
• Evidence of ability to produce and publish research.

How to Apply

Notes:

• Applicants should email their application letters, certified copies of certificates and curriculum vitae (CV) giving details of their qualifications, experience and
• three (3) referees indicating their telephone contacts and e-mail contacts;
• Applications and related documents should be forwarded addressed to the Director, Human Resource, University of Nairobi;
• Applicants should state their current designations, salaries and other benefits attached to those designations;
• The application letter must bear the reference code indicated in the advertisement;
• Late applications will not be considered.

Applications should be emailed as one file in PDF: recruit-pdasmei@uonbi.ac.ke