University of Chicago was looking for a Research & Lab Survey Anayst - Precision Analytics

Department Mental Health Research and Innovation Division About the Department To revolutionize psychological wellness through compassionate, cutting-edge interdisciplinary approaches, pioneering scientific exploration, and cultivating future leaders committed to enhancing individual and community well-being. Job Summary This role coordinates and implements laboratory data collection and analysis supporting advanced research initiatives. The position drives organizational data and analytics efforts by systematically gathering, interpreting, and transforming data to facilitate strategic decision-making, program enhancement, and research development. The role ensures data remains precise, accessible, and strategically actionable for internal and external stakeholders. Responsibilities - Aggregate, sanitize, and structure data from diverse sources - Execute analyses utilizing statistical and computational methodologies - Generate comprehensive data visualizations, interactive dashboards, and analytical reports - Engage interdisciplinary teams to integrate data insights into project strategies - Maintain rigorous data quality, security, and systemic integrity - Advance cross-functional initiatives through data-driven methodological practices - Construct and document data dictionaries for specialized data sets - Develop, implement, and optimize efficient computational algorithms and machine learning pipelines - Collaborate on implementing emerging computational research tools - Create comprehensive training documentation - Maintain updated knowledge-based training resources - Synchronize data between complex research and administrative databases - Design and evaluate sophisticated statistical models and reproducible data processing frameworks - Provide advanced expertise for complex data-related inquiries - Analyze intricate data sets for strategic information extraction - Design training programs for emerging laboratory professionals - Execute standard laboratory protocols supporting research studies - Implement quality and safety control mechanisms - Perform supplementary related tasks as required Minimum Qualifications Education: University degree in relevant scientific discipline Work Experience: 2-5 years of specialized professional experience Preferred Qualifications Experience: - Advanced Python programming skills - Image and unstructured text data processing - Proficiency in statistical programming languages - Data visualization platform expertise Preferred Competencies: - Robust analytical capabilities - Complex findings communication - Meticulous data accuracy commitment - Research data management experience - Strong problem-solving skills - Exceptional organizational abilities - Effective communication skills - Collaborative and independent work aptitude Application Documents - Resume (mandatory) - Cover Letter (mandatory) Job Family: Research Role Impact: Individual Contributor Weekly Hours: 40 Pay Range: $60,000.00 - $75,000.00 Benefits Eligible: Yes Comprehensive equal opportunity employer commitment with non-discriminatory hiring practices.