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Job Summary
Job Title:
Junior Data Scientist
Employer:
Infectious Diseases Institute
Location:
Country:
Contract Type:
Full-time
Job Category:
Information Technology Jobs
Number of Positions:
1
Deadline:
Tuesday, 6 February 2024
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Masaka, Uganda
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.
Full-time
Deadline:
6 Feb 2024
Junior Data Scientist job at Infectious Diseases Institute
Infectious Diseases Institute
Job Description
Duties, Roles and Responsibilities
Qualifications, Education and Competencies
General Summary
The Academy for Health Innovation, Uganda
The Academy for Health Innovation, Uganda (the Academy) is implementing a variety of projects related to AI and machine learning. We are seeking a junior data scientist to work across these projects and support development of AI within the Academy and wider IDI eco-system.
Job brief
Work will include: Working across project data held in the Academy for Health Innovation to understand and collate the data sets using analytical, statistical and programming skills. To support data visualization within the Academy to enhance our program activities and support partner understanding of project data. To provide technical support and guidance on AI and data science projects at the Academy.
See all details of the qualifications, competencies and education for this role under the "How to Apply" section below.
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Key Responsibilities
Interrogate, understand and manage different datasets at the Academy to support layering of AI methods onto the existing projects.
Testing, validating and evaluating algorithms for CFL, ARTAccess and other health applications
Assist with feature selection and algorithm optimization.
Curate annotated datasets for Supervised Learning methods
To provide technical support to the Hub for AI in Maternal and Sexual Reproductive Health (HASH Project activities under the lead of project co-ordinator).
Support monitoring, evaluation and capacity building of HASH subgrantees.
To support stakeholder engagement with current and potential partners for the Academy’s AI projects.
Supporting data visualization of complex health datasets
Devise data representation and visualization protocols.
Compilation and writing of project reports
Attend Academy AI project meetings and other relevant meetings.
Remain updated in the rapidly changing field of Artificial Intelligence.
SERVICES
COMMERCIAL
SERVICES
INDUSTRIAL
SERVICES
RESIDENTIAL
Person Specification
Understanding of various AI techniques, particularly Machine Learning and Natural Language Processing.
Deep understanding of health data representation techniques, statistics and classification algorithms
Able to work in a team environment
Strong writing and communication skills
An analytical mind with problem-solving abilities
APPLICATION FOR THIS POSITION MUST BE DONE ONLINE:
Are you interested? Click the "APPLY" button below to submit your application.
