Data Analyst Computer Science Jobs in Homewood, IL

Location: Chicago, Illinois

Business Unit: Rush Medical Center

Hospital: Rush University Medical Center

Department: Research Computing

Work Type: Full Time Remote (Total FTE between 0. 9 and 1. 0)

Shift: Shift 1

Work Schedule: 8 Hr (8:00:00 AM - 5:00:00 PM)

Rush offers exceptional rewards and benefits learn more at our Rush benefits page (https://www.rush.edu/rush-careers/employee-benefits).

Pay Range: $34.61 - $51.57 per hour
Rush salaries are determined by many factors including, but not limited to, education, job-related experience and skills, as well as internal equity and industry specific market data. The pay range for each role reflects Rush’s anticipated wage or salary reasonably expected to be offered for the position. Offers may vary depending on the circumstances of each case.

Summary:
The Analyst will support the research, clinical, quality improvement, and business data analysis needs of Rush University Medical Center. The Analyst will assist clinical faculty and Principal Investigators to identify and gather necessary data that span operational through research needs and will build databases to permit queries. The analyst will have a direct reporting relationship to the Knowledge Management Team, Medical Director, and Chief Analytics Officer, who are the subject matter experts in data access and research data requests. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.

Other information:
Required Job Qualifications:
• Master's degree in information science, computer science, epidemiology, biostatistics, or equivalent technical experience.
• Strong analytic, issue resolution, and facilitation skills.
• Demonstrated proficiency writing SQL stored procedures or queries.
• Able to present complex information in an understandable and compelling manner.
• Able to prioritize and multi-task to manage expectations of multiple stakeholders.
• Able to deliver high quality, timely work product with significant autonomy.
• Effectively adapts to rapid changes in project or data requirements and changing directions.
• Strong written and verbal communication.
• Effective interpersonal and teamwork skills.
• Expertise with data and analytics tools.
• Experience querying and analyzing data with SQL programming language or equivalent tools.
Preferred Job Qualifications:
• At least three years of experience in statistical software (e.g. SAS or R), with data science experience.
• Some experience in the health care setting.
• Familiarity with healthcare industry or healthcare information systems.
• Experience with Epic.
• Experience with financial /claims data.

Responsibilities:
•Gather business/data requirements from clinical faculty and Principal Investigators and collaborate on the best way to design studies or to build study cohorts based on the Analyst's knowledge of available systems. Acts as interface between clinical experts and IT to determine feasibility, timelines, and cost of date requests.
•Uses third party software tools and research data warehouse in development of queries and visualizations. Creates research data marts using the enterprise IT architecture.
•Serves as representative for the KM Team on committees and initiatives that involve multi-site studies to facilitate IT and research informatics collaborations.
•Participates in analytics-based projects that leverage data collected from electronic medical records to measure and predict patient outcomes.
•Works with statisticians and mathematicians to design predictive models using statistical and machine learning methods that will predict patient outcomes.
•Develops analytic data sets for research and operations and uses statistical software (SAS or R) to analyze data sets as requested by departmental faculty.
•Produces reports that facilitate evidence-based clinical and financial decisions.
•Works with CRIO/CMIO/Knowledge Management team to develop new data queries and toolsets.
•Member of the IT business intelligence/knowledge management team at Rush. Maintains peer relationship and collaborative knowledge exchange with IT counterparts.

Rush is an equal opportunity employer. We evaluate qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics.