Job Summary
The Early Prediction of Gestational Diabetes Mellitus
(GDM) using Machine Learning (ML) study is part of the projects funded under
the UZIMA-DS pilot project grant, aimed at crafting precise and robust ML
algorithms capable of swiftly predicting GDM during the first and second
trimester of pregnancy in Kenya. The objective of this study is to enhance
maternal and fetal health outcomes through timely interventions. Moreover, the
research outcomes will enrich understanding of GDM risk factors, potentially
paving the way for further investigations and advancements in prenatal care.
As a Research Assistant, the successful candidate
work with the project Principal Investigator (PI) and co-investigators (Co-I’s)
to perform a systematic literature review on GDM prevalence in Kenya, create
data pipelines to move data from The Aga Khan University HER to the UZIMA-DS
cloud platform in addition to performing data analysis tasks and Machine
Learning model development. Additionally, the Research Assistant will be
responsible for crafting and defending their Master’s proposal based on the study’s
concept, as well as preparing and submitting their Master’s thesis in alignment
with the study’s findings. The Research assistant will be expected to be part
of preparation of manuscripts for publication with guidance from the project PI
and Co-I’s.
Responsibilities
- Contribute to the development of code, computational tools and
database for mining and visualizing datasets resulting from the GDM study.
- Contribute to drafting manuscripts in collaboration with the
project PI and co-I’s.
- Presente compelling, validated progress to all levels of the
organization, including peers, senior management, and the UZIMA-DS
research hub.
- Use the project data and resources to develop and address
research questions, implement research, and publish scientific papers.
- Participate in regular, debrief meetings as will be instructed
by the project PI.
- Prepare and defend Masters proposal based on this project.
- Prepare a master’s thesis based on the output of the GDM
study.
Requirements
- Enrolled for a master’s degree in computer science,
Statistics/Biostatistics, Mathematics or an equivalent in a recognized
university.
- Have completed a bachelor’s degree in
Statistics/Biostatistics, Mathematics, Computer Science, or an equivalent
in a recognized university.
- Proficiency in using one or more programming or scripting
languages to work with data such as R, Python, Matlab and stata.
- Strong knowledge and experience in conducting systematic
literature search, data collection, analysis, and attention to details.
- Experience in data analysis using R, Python, Matlab , stata or
other statistical software.
- Experience in supporting or writing research grants and
proposals (track record of winning research grants is desirable)
- Experience conducting own research studies and managing
projects from start to completion.
How To Apply
