About the Role
The role involves working with complex datasets to extract meaningful patterns, supporting research teams through quantitative analysis, and contributing to data-driven decision-making in an academic context.
Responsibilities
- Collect and organize large volumes of structured and unstructured data
- Perform data cleaning and preprocessing to ensure accuracy and consistency
- Conduct exploratory data analysis to identify trends and anomalies
- Apply statistical methods to interpret data and generate actionable findings
- Develop and maintain databases for efficient data storage and retrieval
- Collaborate with researchers to understand project goals and data needs
- Create visualizations to communicate results effectively to non-technical audiences
- Support the design and implementation of data collection methodologies
- Ensure compliance with data privacy and security standards
- Document analytical processes and maintain reproducible workflows
- Use programming languages such as Python or R for data manipulation
- Assist in writing reports and summaries based on analytical outputs
- Evaluate data quality and recommend improvements in collection techniques
- Integrate data from multiple sources to support comprehensive analysis
- Participate in team meetings and contribute to project planning
- Stay current with advancements in data science tools and techniques
- Optimize data pipelines for performance and scalability
- Validate analytical models for accuracy and reliability
- Support grant-related data requirements and reporting
- Troubleshoot data-related issues and implement solutions
Compensation
Competitive salary and benefits package
Work Arrangement
Hybrid work model with on-site and remote components
Team
Collaborative environment within a research-focused academic unit
Application Instructions
- Submit a cover letter and resume through the university careers portal
- Include a brief statement of research interests
- Applications will be reviewed on a rolling basis until the position is filled
Equal Employment Opportunity
- The institution values diversity and inclusion in the workplace
- All qualified applicants will receive consideration without regard to race, gender, or background
Not available for this position
