Data Officer Job in Kenya

 Job Title: Data Officer

Hiring Organization: Aga Khan University
Location – Locality: Nairobi
Location – Region: Kenya
Industry: Private Research University
Job Type: Full Time
Salary: KES Competitive
Date Posted: 03/20/2024


Chartered in 1983, Aga Khan University (AKU) is a private, autonomous and self-governing international university, with 13 teaching sites in 6 countries over three continents. An integral part of the Aga Khan Development Network, AKU provides higher education in multiple health science and social science disciplines, carries out research pertinent primarily to low- and middle-income countries and operates 7 hospitals (soon 8) and over 325 outreach clinics, all at international standards. It has almost 2,500 students and 14,000 staff. The University is both a model of academic excellence and an agent of social change. As a leading international institution dedicated to excellence and change, AKU operates on the core principles of quality, relevance, impact and access.

The Aga Khan University Centre of Excellence in Women and Child Health in East Africa (AKU CoEWCH EA) are implementing “iMAMA” project; a prospective data collection study in collaboration with Philips funded by the Bill and Melinda Gates Foundation (BMGF). The main objective of the study is to collect ultrasound-imaging data with the Philips Lumify C5-2 ultrasound system and design and develop algorithms for automated / semi- automated detection of the basic obstetric ultrasound screening parameters.

Job Summary

The successful candidate will support the Project Manager and CoEWCH EA, study PI I-MAMA project implementation at all levels working closely with the project specialists for various components in study implementation in Kilifi County. This includes but is not limited to training, data collection at facility and community level working closely with health workers and CHVs; data compilation, mining, reporting and use as need arises.


Reports to the Project Manager and will be responsible for working with the health workers and community level collecting quality ODK data and any other data as may be required by the project at various levels.

Assist in study trainings and solutions testing according to the guidelines.

Participate in clinical monitoring of the study and implementation of the action.

Support adherence to confidentiality procedures and policies when collecting, storing, and sharing data.

Contribute to study documentation and dissemination.


Work closely with the specialist – ICT to support the collection of ground truth data with the Lumify ultrasound device and clinical request forms; ensure consenting adheres to the protocol.

Support the project data collection and entry model through the facility ODK liaising with the ICT and data specialist for the clinical data.

Participate in the field data collection for the prototype testing and feasibility study.

Support the project community component for study advocacy and mobilization in the community.

Work with sub–County MoH in ensuring completeness and timeliness of facility and community data submission.

Document and report field experiences as per the project plan through the guidance of project lead support study tools and concepts Swahili translations and transcription.


A Diploma (required) in Social/community development, health records and information systems or any other relevant qualification/related field with at least 3 years’ experience in health programming.

Data management experience in MNCH and experience working with modern technology for data collection an added advantage.

5 years’ experience working with both the Philips Foundation and Philips Research in Kilifi County

Experience leading translation of documents to ensure local language needs are met and local socio-cultural norms are understood by the various project teams.

Experience working with the in community and MOH stakeholders.

Excellent written, communication and interpersonal skills will be an added advantage.

Ability to work with multiple tasks, demands and tight schedules, under minimal supervision independently and as a team.

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