Data Analytics Manager - Division of General Internal Medicine

Strength Through Diversity

Ground breaking science. Advancing medicine. Healing made personal.

Roles & Responsibilities: 

The candidate will serve as the Data Analytics Manager for the Data Analytics Core in the Division of General Internal Medicine, which consists of 8 Masters’ level data analysts supporting 10 grant funded investigators. The Data Analytics Manager will support and train analysts and conduct continuous quality improvement of data management and analytics for the Division of General Internal Medicine. The Data Analytics Manager will also serve as the lead analyst and perform high-level statistical analyses for multiple research studies. 

Perform data management and analysis

• Conduct data management and statistical analysis for a portfolio of research projects 
• Biostatistical skills should include standard regression methods, repeated measures analysis (e.g., generalized estimating equations, generalized linear models, hierarchical modeling), survival analysis, techniques for handling missing data (e.g., multiple imputation)
• Special consideration will be given to individuals with the following additional skills: structural equation modeling and path analysis, propensity score and instrumental variable methods, and or analysis of Medicare claims data 
• Apply data visualization skills, including preparation of tables, charts and figures for manuscripts, grants and regulatory reporting
• Maintain up-to-date knowledge of data security and other regulatory concerns
• Prepare reports for regulatory compliance

Manage a team of data analysts

• Oversee regulatory compliance of all research operations in the division as they pertain to data management; responsible for DUAs, DTAs compliance
• Supervise 8 Masters’ level data analysts, including: monitor their data management, data analysis and documentation work for quality, timeliness and responsiveness; provide feedback for skills development; conduct annual performance reviews
• Conduct continuous quality improvement of data management and data analysis in the Data Analytics Core 
• Provide guidance and support to analysts for statistical methods, coding, model diagnostics, interpreting results and data reporting
• Oversee training, skills and professional development of the analysts, including identifying continuing education opportunities 
• Work closely with faculty investigators and research administration staff to ensure that timing and quality of data management and analytic work is consistent with project and program goals
• Coordinate prioritization of work across investigators and external stakeholders on a project or group of projects

Support data and data analysis needs of investigators in the Division

• Provide rudimentary data handling and analytic training for faculty and staff with varying data management and analytic skills
• Conduct analyses to generate data for grants and contracts
• Collaborate with biostatisticians, economists, and other consulting experts outside the Division to address analytic questions raised by investigators
• Performs other duties as needed

• Master’s in biostatistics (Doctoral degree preferred), epidemiology, health services research, economics, health psychology or other relevant field. 
• 3 or more years of high level analytic work and relevant supervisory roles.

 

 

Strength Through Diversity

The Mount Sinai Health System believes that diversity, equity, and inclusion are key drivers for excellence. We share a common devotion to delivering exceptional patient care. When you join us, you become a part of Mount Sinai’s unrivaled record of achievement, education, and advancement as we revolutionize medicine together. We invite you to participate actively as a part of the Mount Sinai Health System team by:  

• Using a lens of equity in all aspects of patient care delivery, education, and research to promote policies and practices to allow opportunities for all to thrive and reach their potential.
• Serving as a role model confronting racist, sexist, or other inappropriate actions by speaking up, challenging exclusionary organizational practices, and standing side-by-side in support of colleagues who experience discrimination.
• Inspiring and fostering an environment of anti-racist behaviors among and between departments and co-workers.

We work hard to acquire and retain the best people and to create an inclusive, welcoming and nurturing work environment where all feel they are valued, belong and are able to professional advance. We share the belief that all employees, regardless of job title or expertise cont