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Data Analyst and Biostatistician for Traveler's Health
hace 2 meses
Instituto de Salud Global de Barcelona is a leading research institution dedicated to improving global health through innovative solutions and cutting-edge research.
Job OverviewWe are seeking a highly skilled Data Analyst and Biostatistician to join our team and contribute to our mission of enhancing traveler's health worldwide.
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.
- 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.
