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Biostatistics and Data Governance Expert
2 months ago
The Vattikuti Foundation is seeking a highly skilled and experienced Data Manager to oversee and maintain our international database of robotic surgery data. As a key member of our research team, you will be responsible for organizing and managing data from multiple centers, coordinating with data managers across various locations, and providing comprehensive biostatistical analysis to support our research initiatives.
Key Responsibilities- Database Management
- Maintain and organize a large, multicenter international database related to robotic surgery.
- Ensure data integrity, accuracy, and confidentiality across all centers.
- Develop and implement database management protocols and best practices.
- Coordination and Communication
- Liaise with data managers from participating centers to ensure timely and accurate data submission.
- Provide support and training to center-based data managers as needed.
- Facilitate regular meetings and communications to address data-related issues and updates.
- Biostatistical Analysis
- Perform biostatistical analyses on collected data to derive meaningful insights and support research objectives.
- Support research teams in data extraction, transformation, and integration, facilitating collaborative publications and innovative research.
- Develop and implement statistical models and methods to analyze trends and outcomes in robotic surgery.
- Prepare detailed reports and presentations of findings for stakeholders and research teams.
- Ensure compliance with data governance standards and contribute to continuous improvement of database management practices.
- Quality Assurance
- Conduct regular audits to verify data quality and compliance with organizational standards.
- Identify and address any discrepancies or issues within the database.
- Reporting and Documentation
- Document data management procedures and biostatistical methodologies.
- Generate reports summarizing key findings and trends for internal and external stakeholders.
- Education: Master's degree or higher in Biostatistics, Data Science, Statistics, or a related field.
- Experience: Preferred 3-5 years of experience in data management and biostatistics, preferably within a multicenter or international research environment.
- Requirements:
- Proficiency in statistical software (e.g., R, SAS, SPSS).
- Experience with database management systems and data visualization tools.
- Strong understanding of data integrity, privacy regulations, and compliance issues.
- Preferred proficiency in programming languages such as Python, R, SQL, or similar.
- Preferred knowledge of Large Language Models (LLMs) and other AI tools, with experience applying these technologies to data analysis.
- Ability to work independently and collaboratively with teams across different geographic locations.
- Excellent communication skills and the ability to translate complex data into actionable insights.
- Excellent organizational and multitasking abilities.
- Ability to work independently and as part of a collaborative team.