Data Scientist

vor 3 Wochen

Berlin, Deutschland WHO Vollzeit

DESCRIPTION OF DUTIES

Within the framework of the delegated authority, the incumbent is assigned all or part of the following duties which are performed according to needs:

Coordinate priorities for analysis relevant to pandemic and epidemic intelligence and engagement with relevant communities. Provide specialist technical expertise and guidance in data science principles and methods, including but not limited to advanced analysis, spatial analysis, federated analysis, graph-powered analysis, and machine learning. Coordinate the analysis and pipelines from different available data and develop and improve outputs to communicate the results. Coordinate the development and implementation of state-of-the-art analysis-sharing and dissemination strategies along the identified priorities. Oversee and guide the systematic documentation of code and analytic approaches to ensure information sharing with inside and outside collaborators. Research, create, and validate algorithms as required for epidemic and pandemic intelligence within the team's scope and mandate. Connect and collaborate with staff at all levels in The Programme, WHO HQ, Regional and Country Offices, as well as countries and partners to encourage data and analysis-sharing as key component of promoting and nurturing a culture of multi-disciplinary and cross-cutting approaches within The Programme, WHO and with key partners. Perform other related responsibilities as assigned, including replacing and backstopping for others as required.

REQUIRED QUALIFICATIONS

Education

Essential : Advanced university degree (Master's level) in data science, epidemiology, demography, statistics, health sciences, or a related discipline that includes quantitative methods.
Desirable : PHD in any of the above areas.

Experience

Essential : At least 7 years of experience in advanced data analysis, including modeling and machine learning, developing and using quantitative methods in infectious diseases. Experience in conducting joint analysis, sharing code on different platforms and documenting outcomes. Experience in visualizing the results. Demonstrated exposure at international level.
Desirable : Experience in carrying out analysis in a federated setup. Technical experience with graph-based analysis. Experience in working with infectious disease surveillance data.

Skills

Proven ability to conduct quantitative data analysis, including mathematical modeling in emerging/re-emerging diseases with machine learning components in a multi-disciplinary and cross-cutting environment. Proven ability to visualize interactively the results of further analysis. Excellent organizational and data management skills combined with the ability to multi-task and produce accurate results under pressure. Excellent interpersonal skills, complemented by the ability to synthesize information clearly and concisely. Tact, diplomacy, and courtesy.

WHO Competencies

Teamwork
Respecting and promoting individual and cultural differences
Communication
Producing results
Knowing and managing yourself

Use of Language Skills

Essential : Expert knowledge of English.
Desirable : Intermediate knowledge of French. Intermediate knowledge of another WHO language (Arabic, Chinese, Russian, Spanish).

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