Data Analyst and Biostatistician for Traveller’s health

Instituto de Salud Global de Barcelona; Barcelona; Presencial; EUR 30.000 - 50.000; Jornada completa

Descripción de la vacante

Una empresa innovadora busca un Analista de Datos y Biostatístico para mejorar la salud de los viajeros a nivel mundial. En este papel, combinarás tus habilidades en análisis de datos y biostatística para gestionar datos y desarrollar soluciones innovadoras. Trabajarás en un entorno dinámico y colaborativo, formando parte de un equipo multidisciplinario que aborda los desafíos únicos de la salud en los viajes. Si tienes pasión por la salud pública y la tecnología, esta es tu oportunidad para hacer una diferencia significativa en el bienestar de los viajeros.

Formación

• Se requiere experiencia en gestión de datos y optimización de flujos de trabajo.
• Conocimiento en técnicas de IA y aprendizaje automático es un plus.

Responsabilidades

• Desarrollar y mantener procesos de gestión de datos y pipelines automatizados.
• Colaborar con un equipo multidisciplinario para diseñar estudios y soluciones.

Conocimientos

Análisis de datos

Biostatística

Resolución de problemas

Comunicación efectiva

Control de calidad de datos

Educación

Máster o Doctorado en Biostatística

Máster o Doctorado en Estadística

Máster o Doctorado en Ciencia de Datos

Herramientas

R

SAS

Python

Descripción del empleo

About Us : Famba is an innovative project on a mission to enhance the health and well-being of international travelers across the globe. We harness the power of AI, data analytics, and biostatistics to create cutting-edge solutions for the travel health industry. We are seeking a talented Data Analyst and Biostatistician to join our team and play a crucial role in our journey to revolutionize traveler’s health.

Position Overview : As a Data Analyst and Biostatistician at Famba, you will be at the forefront of improving the health of travelers worldwide through data-driven insights and innovative solutions. This role offers you the opportunity to combine your expertise in data analysis and biostatistics with a strong focus on data management, including data pipelines, to address the unique challenges faced by travelers and shape the future of travel health.

This is a collaboration between Hospital Clínic Department of International Health and the Biomedical Data Science Group at ISGLOBAL. As such, the candidate will be exposed to a multidisciplinary research team of clinicians and data scientists.

Key Responsibilities

• Data Management and Pipelines: Develop and maintain efficient data management processes, including data collection, storage, cleaning, integration, and automated data pipelines for diverse datasets related to travel health.
• Workflow Optimization: Streamline data analysis workflows to ensure the efficient and timely delivery of insights and recommendations.
• Data Analysis: Analyze healthcare data using advanced statistical techniques and AI algorithms to develop predictive models and recommendations for travelers' health and safety.
• Data Visualization: Create compelling visualizations and reports to communicate findings and insights to stakeholders, including travelers, healthcare providers, and decision-makers.
• Research Collaboration: Collaborate with a multidisciplinary team of data scientists, healthcare professionals, and engineers to design studies, conduct research, and develop data-driven solutions.
• Quality Control: Ensure data accuracy and maintain rigorous quality control measures to uphold the integrity of healthcare data.
• Data Interpretation: Interpret statistical results and provide actionable recommendations to enhance traveler health outcomes.
• Documentation: Maintain detailed documentation of data management processes, analysis methodologies, results, and data sources.
• Continuous Learning: Stay updated with the latest developments in biostatistics, AI, data management, and travel health to drive innovation.

Qualifications

• Master's or Ph.D. in Biostatistics, Statistics, Data Science, or a related field.
• Proficiency in statistical software such as R, SAS, or Python.
• Strong analytical and problem-solving skills.
• Proven experience in data management, ETL processes, and workflow optimization.
• Experience in healthcare data analysis, epidemiology, or related fields.
• Excellent communication skills to convey complex data findings effectively.
• Commitment to data quality and attention to detail.
• Ability to work both independently and collaboratively in a dynamic startup environment.
• Knowledge of AI and machine learning techniques is a plus.

Conditions

• Duration: 6 months (renewable)
• Contract: (part or full time) Full time
• Salary Range: Technician II-A