Senior Technical Advisor, Data Use and Decision Science (Remote - US, UK, France, DRC)

Resolvetosavelives · US, UK, DRCRemotosenior

En corto

▸Asesor técnico senior enfocado en usar datos para tomar decisiones en salud pública en el DRC.
▸El día a día incluye analizar datos epidemiológicos y contextuales para respuestas rápidas a brotes, como el Ébola.
▸Destacado: lidera capacitaciones en inteligencia epidémica y talleres de diseño colaborativo con equipos locales.

Proficiency in English required (written and spoken).

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¿Qué piden?

✓Experiencia demostrable en análisis de datos para salud pública o epidemias.
✓Capacidad para integrar datos epidemiológicos con información contextual (climática, ambiental, de vulnerabilidad).
✓Conocimiento en sistemas de vigilancia de enfermedades y análisis en tiempo real.
✓Experiencia en acompañamiento técnico a equipos locales en países de bajo o medio ingreso.
✓Habilidades en metodologías de diseño colaborativo y formación de capacidad.
✓Experiencia previa en iniciativas de preparación y respuesta a brotes en África, especialmente en el DRC.

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonRSQLTableauPower BIGISdata pipelinesepidemiological modelingreal-time data analysiscontextual data integration

¿A quién escribirle en Resolvetosavelives?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

Resolve to Save Lives (RTSL) is a global health organization that partners locally and globally to create and scale solutions to the world’s deadliest health threats. Millions of people die from preventable health threats. We collaborate to close the gap between proven, life-saving solutions and the people who need them. Since 2017, we’ve worked with governments and other partners in more than 60 countries to save millions of lives. We work toward a future where people live longer, healthier lives, communities flourish, and economies thrive. This is an ambitious vision, and it inspires us and our partners to make progress every day. Resolve to Save Lives' Prevent Epidemics program works closely with Ministries of Health and national public health institutes in Africa to strengthen epidemic preparedness capacity, accelerate disease detection and response, and effectively use data to inform action. In addition to direct partnerships with governments, we also work with implementing partners, including the US CDC, the World Health Organization, the World Bank, and the Global Health Advocacy Incubator, to implement programs, prototype innovations, and ensure sustainability through increased national ownership, including domestic budget allocations. Position Purpose: The Senior Technical Advisor, Data Use and Decision Science focuses on bridging the gap between complex epidemiological and contextual data and strategic public health action. This role will primarily support the Democratic Republic of the Congo (DRC) Collaborative Surveillance (CS) portfolio, with a significant focus on accompaniment of DRC-based staff on 1) advancing data use for the current Ebola outbreak preparedness and rapid response, and 2) generating actionable analytics and information products to strengthen real-time decision-making, integrating disease surveillance with contextual data (e.g., climate, environmental, risk, and vulnerability factors) and supporting resilient data pipelines. Additionally, this role will contribute to the facilitation of two flagship programs - Epidemic Intelligence training curriculum, and a co-design workshop - to build national counterparts' capacity for epidemic intelligence and systems thinking. The Senior Technical Advisor reports to the Principal Advisor, Data Use for Decision Science, Epidemic Intelligence. This full-time, remote position is for a fixed term of 2 years. Core Duties and Responsibilities: The Senior Technical Advisor, Data Use and Decision Science collaborates with HQ-based staff and the DRC-based teams on data analytics, innovations and delivery. Responsibilities include: Data Use for Decision Science <li data-leveltext="" data-font="Symbol" data-listid="11" data-list-defn-props="{"335552541":1,"335559685":1080,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":"","469777815":"hybridMultilevel"}" data-aria-posinset="1" d

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