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 AM)
Pay Range: $38.07 - $56.73 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 Senior Clinical Data Analyst will support the research, clinical, quality improvement, and business data analysis needs of Rush University Medical Center. The Senior Analyst will assist clinical faculty and Principal Investigators to identify and gather necessary data that span operational through advanced research needs and will build databases and data frames to permit queries and advanced analytics. The senior analyst will be a subject matter expert for all data and processes relevant to their team and will be a consultant to their teammates and stakeholders alike, as well as an escalation point for their team members. They will be responsible for helping with the onboarding of new analysts when they are hired. The senior 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.
• 5+ Years experience in a healthcare data setting.
• 4+ Years experience with Epic Clarity and/or Caboodle.
• 4+ years experience in statistical software (Python, SAS, R, etc.).
• Demonstrated proficiency writing complex SQL stored procedures and queries.
• Able to present complex information in an understandable and compelling manner.
• Experience with MS PowerBI.
• 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:
• • Data Science experience
• Experience with financial/claims data
• Some degree of leadership experience in past positions.
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.
• Mentor and consult with clinical data analysts on the team to foster an environment of collaboration and act as an escalation point for analysts.
• Be a subject matter expert on the data and processes needed for analysts to be successful and be able to teach these data and processes to team members.
• Consults with investigators and team members alike, owning the customer experience and making sure that all department policies and procedures are followed exactly.
• Acts as a representative for manager in meetings with stakeholders when the manager is unable to attend.
• Responsible for the successful onboarding of new clinical data analysts.
• 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 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 (Python 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.
