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Data Analyst and Biostatistician for Traveler's Health
hace 2 meses
Famba is an innovative project that aims to enhance the health and well-being of international travelers worldwide. We harness the power of artificial intelligence, data analytics, and biostatistics to create cutting-edge solutions for the travel health industry.
Job OverviewAs a Data Analyst and Biostatistician at Famba, you will play a crucial role in 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.
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.
- 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.
