Research Specialist (Data Scientist), Paediatrics & Child Health - MC
Tasks
- Clean validate and manage clinical research datasets
- Conduct literature reviews and evidence synthesis
- Contribute to continuous improvement of research processes
- Coordinate AI and health research projects
- Coordinate meetings and maintain project documentation
- Coordinate workshops stakeholder meetings training and field visits
- Liaise with clinicians researchers and implementation partners
- Perform statistical analyses
- Prepare datasets for AI and machine learning applications
- Support AI and machine learning model development testing evaluation
- Support data annotation preprocessing model validation evaluation
- Track project timelines milestones risks deliverables
Perks/Benefits
- N/A
Skills/Tech-stack
Artificial Intelligence | Clinical Practice | Clinical data | Dashboard Development | Data Annotation | Data Governance | Data Management | Data Preprocessing | Data Quality | Data Validation | Data Visualization | Data cleaning | Data quality assurance | Good Clinical Practice | Health Data | Machine Learning | Model Evaluation | Model Validation | Public Health | Public health data | Python | Quality Assurance | R | Research Data | Research data management | Stata | Statistical Analysis
Education
Master of Science | Master of Science in Computer Science | Master of Science in Data Science | Master of Science in Health Data Science
Roles
Data Scientist | Research Specialist | Scientist | Specialist
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