Location: Chicago, Illinois
Business Unit: Rush Medical Center
Hospital: Rush University Medical Center
Department: Res-Recr - Buell
Work Type: Full Time (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: $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.
Under the general direction of the Principal Investigator and Supervising Data Scientist for the Rush Interdisciplinary Consortium for Critical Care Trials and Data Science (RICCC), the Data Scientist will independently develop and execute complex data analysis and statistical modeling projects. The individual will use machine learning and computational methods to preprocess and analyze electronic healthcare record data. Databases will include critical care and ICU datasets, including CLIF (Common Longitudinal ICU Data Format, www.clif-icu.com), Epic Cosmos data, and multi-center clinical trial data.
Summary:
This position is responsible supporting our clinical and financial analytics projects using Big Data technologies. The ideal candidate is adept at using large data sets to find opportunities for clinical and financial optimization and using models to test the effectiveness of different courses of action. They must have course work or experience using a variety of data mining/data analysis methods, using a variety of data tools, building and implementing models, using/creating algorithms and creating/running simulations. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Exemplifies the Rush mission, vision and values and acts in accordance with Rush policies and procedures.
Required Job Qualifications:
• Bachelor degree in statistics, bioinformatics, mathematics, data science or equivalent field.
• 3 years of experience of clinical research or analytics working with relational databases in a healthcare or hospital environment.
• Experience using statistical computer languages (SAS, SPSS, R, Python, SLQ, etc.) to manipulate data and draw insights from data sets.
• Strong understanding of clinical trial process and clinical technology.
• Knowledge of statistical and data mining techniques.
• Experience managing disparate data sets and using quantitative and qualitative analysis.
• Experience in a fast-paced environment and in managing multiple priorities effectively.
• Experience presenting data to a variety of audiences.
• Clear and concise written and verbal communication skills.
• Analytical, multi-tasking and problem solving skills.
• PC proficiency with Microsoft Office Suite (Excel, Outlook, PowerPoint, and Word).
Preferred Job Qualifications:
• Master's Degree
• Computer programming languages: R, Python, SLQ, C, C++, Java, JavaScript, etc.
• Distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
• Visualization/presentation tools: Tableau
• Business intelligence platforms: SAP BusinessObjects, Microsoft Power BI
Responsibilities:
• Handles moderately complex work critical to the organization.
• Produces analytics that facilitate evidence-based clinical and financial decisions
• Conduct QA of models' outcomes and monitor model performance regularly.
• Develops, implements and validates new predictive modeling algorithms and applications
• Develops analytic data sets and uses statistical software to analyze data sets as requested
• Builds predictive models and complete various analytical projects.
• Uses third party software tools in development of queries and visualizations
• Suggests/builds software tools to streamline the building of models and other analytics.
• Provides critical guidance for the development and implementation of models and analytics products.
• Conducts exploratory data analysis from complex, disparate data sources to recognize patterns, and identifies performance improvement opportunities.
• Generates hypotheses and analyze data to test and interpret results.
• Creates clinical and administrative reports. Creates mechanisms for approving and distributing reports.
• Communicates findings from exploratory and predictive data analysis broadly to team and leaders.
• Identifies improvement opportunities in reporting and BI tools and collaborate with Products Technology to implement enhancements.
• Collaborates with key leaders and clinicians to build analytical acumen across all analytic roles.
• Develops prototypes, test methods and algorithms. Leverages emerging statistical methodologies to drive innovative analytical solutions to create insights from clinical data.
• Utilizes operational analytics and project management tools to optimize execution of programs and studies, to manage internal and external resources, to track study progress, and to prepare study status reports.
• Anticipates and identifies issues that could affect timelines or quality and develops options and solutions.
• Other duties as assigned.
