Job Title: Junior AI & Bioinformatics Trainee– 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.
Job Summary:
IDI is looking for a talented Junior AI & Bioinformatics Trainee to support AI and Machine Learning applications in Health in the COAST project. Work will include:
Leading on the decision support system for the call for life (CFL) Covid for Workstream 2 (Detection and diagnosis tools for improved patient care and management) of the COAST project. This will involve working closely with the Academy Call for Life team and the ACEi team to develop the decision support algorithm for CFL COVID. The AI trainee will report to Daudi Jingo, Head of ACEi, but will have regular communication from the Academy COAST Investigator.
Other activities may include:
Support of COVID-19 Chatbot development team
Support data modelling team in COVID forecasting
Integration of genomic and clinical data into applications
Testing and validating algorithms for HIV decision support within IDI datasets
Roles and Responsibilities:
Interrogate, understand and manage the Call for Life COVID dataset in preparation for decision support
Curate annotated datasets for Supervised Learning methods
Testing and validating algorithms for CFL COVID and other health applications
Train the developed model and run evaluation experiments
Supporting data visualization of complex health datasets
Curating and validation/proof reading of text and audio data
Working with Natural Language processing lead to work with language data analysis
Devise data representation and visualization protocols
Evaluate algorithms and tools for COVID related app tasks including chatbot, interactive voice response tools and decision support system
Organize and interpret biomedical data (genomic, clinical and epidemiological) for the projects
Assist with feature selection and algorithm optimisation
Remain updated in the rapidly changing field of machine learning
Learn and adapt NLP and NLU techniques for project’s work streams
Compilation and writing of project reports
Attend Academy CFL and other relevant meetings
Attend relevant ACEi meetings
Attend COAST project meetings and steering committee meetings as appropriate
Minimum Qualifications:
The applicant should have proven training in data science and its application on biomedical or health data
Training in bioinformatics and computational biology
Previous or ongoing engagement with a biomedical research project
Understanding of ML techniques for text representation, semantic extraction techniques, data structures and modeling
Deep understanding of health data representation techniques, statistics and classification algorithms
Knowledge of Python, Unix and R
Able to work in a team environment
Experience with machine learning frameworks (like Keras or PyTorch) and libraries (like scikit-learn)
Outstanding skills in machine learning methods and techniques.
MSc level training in bioinformatics and/or data science
Strong writing and communication skills
An analytical mind with problem-solving abilities
How To Apply for IDI Uganda Jobs 2021
All interested and suitably qualified candidates should submit their applications through the link below.
IDI will offer a competitive remuneration package to the successful candidate. Candidates that know that they meet the above criteria and have what it takes to excel in the above position, please send an application letter and their CVs which should include certificate/testimonials and address of three (3) Referees plus telephone contact at the link below.
Deadline: 17th October 2021
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