Data Scientist
Core
Design, build, and improve tools and methodologies for capturing, processing, and analyzing clinical data during disease outbreaks to generate robust evidence for public health response.
Role type
Data Scientist (Clinical Data & Outbreak Response)
Builds
Scalable reusable tools, data pipelines, and machine-readable data models for international research institutions.
Domain
Public health, infectious disease epidemiology, clinical research
Deliverable
production ML models | dashboards & analysis | infrastructure
Required skills
Statistical methods, machine learning techniques, Python (data import/manipulation), data pipeline design, data validation, documentation, standard data model development
Preferred skills
Advanced data management, software engineering, interpersonal skills
Technologies
Python
Responsibilities
Design and develop tools for clinical data collection and processing; analyze clinical and epidemiological data to generate new evidence; define research methods and standard data models; validate and document data pipelines; collaborate with international partners to improve data quality.
Seniority
Mid-Senior, hands-on IC