Statistical Analyst Biomedical Informatics **REMOTE OPTIONAL**

Discover Vanderbilt University Medical Center:  Located in Nashville, Tennessee, and operating at a global crossroads of teaching, discovery, and patient care, VUMC is a community of diverse individuals who come to work each day with the simple aim of changing the world. It is a place where your expertise will be valued, your knowledge expanded, and your abilities challenged. Vanderbilt Health recognizes that diversity is essential for excellence and innovation. We are committed to an inclusive environment where everyone has the chance to thrive and where your diversity of culture, thinking, learning, and leading is sought and celebrated. It is a place where employees know they are part of something that is bigger than themselves, take exceptional pride in their work and never settle for what was good enough yesterday. Vanderbilt’s mission is to advance health and wellness through preeminent programs in patient care, education, and research.

Organization:

Biomedical Informatics

Job Summary:

JOB SUMMARY
Uses analytics to provide detailed analysis of browser capability of selected domains, under occasional guidance. Performs statistical treatment to identify trends and events. Assists in implementing development projects.

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KEY RESPONSIBILITIES
• Performs development, maintenance and governance of data architecture.
• Implements business logic at the lowest possible level of the organization.
• The responsibilities listed are a general overview of the position and additional duties may be assigned.

TECHNICAL CAPABILITIES
• Data Modeling (Novice): Possesses sufficient proficiency to successfully demonstrate the skill data modeling in applications of moderate difficulty. Generally works under the direction of others while accomplishing assignments. Knows how to integrate data modeling into an overall systems development methodology [SDM]. Is familiar with logical business data modeling using some of the prominent structured and object-oriented modeling methods. Knows the fundamental principles of conceptual data modeling using the leading Entity/Relationship Diagramming [ERD] methods.
• Data Mining (Novice): Has demonstrated an understanding of analysis methods, design concepts, data organization, business models, capabilities and limitations. Has used at least one of the state-of-the-art software tools best for implementing the method.
• Metadata Analysis (Novice): Possesses sufficient fundamental proficiency to successfully demonstrate the skill in practical data analysis applications of moderate difficulty. Navigates within established technology environments to locate, validate, extract, and format data for data analysis. Able to modify and run queries and standard reports from data tools and provide to users. Can identify data values and data sources. Is familiar with data modeling. Is able to interview business customers to elicit data requirements and understand the relationships between data items. Collects historical and forecasted call data to use for scheduling and staffing.
• Statistical Analysis (Novice): Possesses sufficient fundamental proficiency to successfully apply statistical concepts in practical applications of moderate difficulty. Generally works under the direction of others while accomplishing assignments. Has retained equivalent knowledge from past experience.

Our Academic Enterprise is one of the nation’s longest serving and most prestigious academic medical centers. Through its historic bond with Vanderbilt University and integral role in the School of Medicine, Vanderbilt Health cultivates distinguished research and educational programs to advance a clinical enterprise that provides compassionate and personalized care and support for millions of patients and family members each year.

World-leading academic departments and comprehensive centers of excellence pursue scientific discoveries and transformational educational and clinical advances across the entire spectrum of health and disease.

Aligning with Vanderbilt Health’s Strategic Directions, the Office of Research provides shared research resources, administrative expertise and professional guidance to enable the trans-disciplinary environment and highly collaborative culture that advances discovery and training for all the research faculty, trainees, students and staff. 

Core Accountabilities:

Organizational Impact: Executes job responsibilit