Data Analyst and Biostatistician for Global Health
hace 1 semana
About Us
Instituto de Salud Global de Barcelona is a leading research institution dedicated to improving global health through innovative solutions and cutting-edge research.
We are seeking a highly skilled Data Analyst and Biostatistician to join our team and contribute to our mission of enhancing global health.
Position Overview
As a Data Analyst and Biostatistician at Instituto de Salud Global de Barcelona, you will play a critical role in analyzing healthcare data to develop predictive models and recommendations for global health and safety.
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 global 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 global health and safety.
- Data Visualization
- Create compelling visualizations and reports to communicate findings and insights to stakeholders, including 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 global 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 global 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 research environment.
- Knowledge of AI and machine learning techniques is a plus.
Conditions
- Duration: 6 months (renewable)
- Contract: Full time
- Salary Range: Technician II-A
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