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Job Title: Junior Data Modeler – IDI Uganda Jobs 2021
Organization: Infectious Disease Institute
Location: Kampala, Uganda
Infectious Diseases Institute Profile:
The Infectious Diseases Institute (IDI) is a Ugandan not-for-profit organization whose mission is to strengthen health systems in Africa, with strong emphasis on infectious diseases, through research and capacity development. IDI has six operational areas through which it works to achieve its mission: Prevention, Care and Treatment; Training, Research, Laboratory services (including the CAP-certified IDI Core Lab & Translational Lab), Global Health Security and Health System Strengthening.
In 2021, we were awarded a grant by the Global South AI4COVID Program titled “End-to-end AI and data systems for targeted surveillance and management of COVID-19 and future pandemics affecting Uganda (COAST). The Modeling and forecasting workstream which is part of the project is tasked to build statistical and mathematical forecasting models to aid in real-time tracking of COVID-19 spread and associated risks so as to inform regional and population specific interventions. The workstream also aims to evaluate government responses to mitigate the epidemic. We wish to recruit a junior modeler who will work with the senior modeler to achieve the objects of the modelling workstream and those of the overall COAST project.
The primary role of this position will be to work on developing and calibrating statistical and mathematical / simulation models for COVID-19 projections and developing figures and data visualization approaches from simulations. The position will focus on time series models (e.g., ARIMA, ETS and dynamical models), generalized linear models, compartmental and stochastic mathematical models for COVID-19. Responsibilities include coding mathematical models (preferably in R/Rstudio software), reading in data and writing outputs, writing model fitting algorithms, and running model simulations using R/Rstudio and developing dashboards.
The Junior Data Modeler position requires a deep understanding of probability distributions; compartmental, stochastic and dynamical systems modeling; and reproducible data science in general. The position involves self-directed learning and a desire to learn new approaches relevant to research questions, and a motivation to help make mathematical modeling a transparent and inclusive process with knowledge-users.
Roles and Responsibilities:
All interested and suitably qualified candidates should submit their applications through the link below.
Deadline: 24th November 2021
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