Research Data Scientist

The Research Data Scientist (Statistical/Health Data analytics) is a senior member of the team responsible for developing and managing data/databases and is engaged in the Clinical Analytics work efforts that support Clinical Quality, Patient Safety and Outcomes across the organization. This work requires technical skills that include: a) data mining of large data sets using Structured Query Language (SQL), using R, SAS and/or SPSS statistical

analysis programs and/or using other programming languages including Visual Basic and Python, b) designing and implementing custom databases using Microsoft Access and/or Microsoft SQL Server, c) using statistical methods to assess significance of results and to identify/predict outcomes using regression methods, and d) using data visualizing tools including pivot tables and charts in Excel. The Research Data Scientist possesses operational knowledge of clinical/hospital systems and applications, including Electronic Health Record (HER) systems. The Research Data Scientist has expertise in technical problem/needs analysis and solution development. The Research Data Scientist works with management and staff to define problems, devise solutions, perform workflow analysis, quality control and problem and change management. The position analyzes, reports and processes and systems. The Research Data Scientist supports advanced clinical quality inquiry leading to ad hoc report

generation and further investigative analysis, often leading to new clinically relevant information used to improve quality, safety, service and growth. The position facilitates the establishment of a data driven culture in the clinical

quality and operational areas. The position analyzes, reports, presents and encourages the use of data to monitor and improve care. The position facilitates the establishment of a data driven culture in the clinical quality and

operational areas. Ad Hoc Reporting - Responsible for collecting, tracking and reporting quality measures/indicators. Produce reports that are timely and accurate. Seeks opportunities to automate or otherwise improve the accuracy and efficiency of data collection and reporting. Analysis and Performance Improvement - Uses computer software to analyze clinical and financial data to help identify and understand opportunities to improve outcomes, reduce costs, and improve satisfaction with clinical care. Leads or participates as a member

of cross functional teams created to improve processes. Statistical Analysis - Ensures statistical validity and accuracy of analyses and reports. Tests for relationships and significance, determine whether variations may be due to normal random variation or to assignable cause. Data Mining and Reporting - Applies data modeling and SQL methods to assimilate data from various sources and develop useful reports of clinical, financial, and quality measure results. Education and Consultation - Educates and works with organizational leaders to ensure that analyses are used appropriately and effectively. Serves as a resource to others on definition of and reporting of external quality measures, acts as an internal consultant on complex statistical and or computer techniques

as well as data related issues. Technical Database Management and Information Systems. Complies with Hospital/Department policies. Demonstrates professional responsibility as per job classification. Demonstrates Core Values based on behavioral standards. Demonstrates positive guest relations skills in all dealing with hospital visitors and vendors. Serves as a liaison between the Clinical Analytics Department and both our internal and external customers including: hospital staff, managers, directors, senior executives, physicians, vendors and other corporate affiliations. Demonstrates a positive outlook toward job change. Is willing to adapt to the changing needs of the organization. Other duties as assigned by management.

One (1) year of experience as a Research Data Scientist, or related.

Minimum Education Required

Masters

Training Required/Provided

Demonstrated knowledge of or experience in the following: Data Mining, Data Management, Statistical Methodologies, Data Visualization and Presentation