- Company: World Health Organization (WHO)
- Location: Kenya
- State: Nairobi
- Job type: Contract
- Job category: - Data Science / Research Jobs in KenyaWorld Health Organization (WHO) Jobs in Kenya
Job Description
The World Health Organization is a specialized agency of the United Nations that is concerned with international public health. It was established on 7 April 1948, headquartered in Geneva, Switzerland.
Purpose of consultancy
To provide technical input to data analysis, develop tools supporting data analysis and data sharing, and package code, to be reusable and shared in a transparent way for different settings for pandemic and epidemic intelligence.
Deliverables
- Prepare pipelines for data that can be used for joint analysis to model pandemic and epidemics.
- Summarize existing models and advanced analysis on issues relevant for current pandemic and epidemic intelligence.
- Carry out analysis on existing data and develop pipelines for information products, such as presentations, briefings, activity reports.
- Document analysis and store in order to make it sharable and reusable.
Qualifications, experience, skills and languages
Educational Qualifications:
Essential:
- First university degree in health informatics, data science, biostatistics, applied mathematics, computer science, engineering or other related technical disciplines.
Desirable:
- Postgraduate diploma in any of the above areas.
Experience
Essential:
- At least two years’ relevant experience with successful track record in data analysis or data visualization.
Desirable:
- Experience in the analysis of infectious disease data using surveillance data and context data.
- Experience in WHO or UN, UN Agencies.
Skills/Knowledge:
Essential:
- Skills in database management and statistical analysis, secondary data review, epidemiological analysis and public health information management.
- Good computer skills in Microsoft office, and a statistical package such as R, SAS or Python.
- Strong skills in coding, data management, data analysis and data visualization.
- A theoretical and practical understanding of health statistics, spatial statistics, and modelling methods.
- Demonstrated competency in the application of Bayesian statistics.
- Excellent presentation and communication skills.
- Ability to synthesize information in a clear and concise manner.
- Ability to understand technical issues in the field of public health as well as knowledge of epidemiology, quantitative methods, and surveillance in the area of emerging/re-emerging diseases.
- Ability to work in a multi-disciplinary and cross-cutting environment.
- Excellent organizational skills combined with ability to multi-task and produce accurate results under pressure.
- Knowledge of public health sector and issues.
