Clinical Data Scientist-26977

About the role

This position supports 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.

Responsibilities

• Handles moderately complex work critical to the organization.
• Produces analytics that facilitate evidence-based clinical and financial decisions.
• Conducts QA of models’ outcomes and monitors 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 completes 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 analyzes 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 collaborates 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.

Requirements

• 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, SQL, 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).

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, SQL, 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).

Skills

• Computer programming languages: R, Python, SQL, 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

Benefits

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

Pay

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.

Schedule

Shift 1