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.
Responsibilities
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.
Activities:
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.
Requirements
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.