Research Data Scientist

Job Summary and Responsibilities
As a Research Data Scientist, you will be a senior team member, developing and managing databases and performing clinical analytics for Quality, Patient Safety, and Outcomes. Your technical skills include data mining, database design, statistical regression, and data visualization.

Every day you will apply your EHR and clinical system knowledge to define problems, devise solutions, perform workflow analysis, and manage change. You will tirelessly analyze, report, and present data to monitor and improve care, fostering a data-driven culture.

To be successful in this role, you will leverage your expertise in technical analysis and solution development for advanced clinical quality inquiry, generating insights for improvement. Your ability to effectively present complex data will drive data-driven cultures in clinical operations.

• Ad Hoc Reporting - Responsible for collecting, tracking and reporting quality measures / indicators. Produces reports that are timely and accurate. Seeks opportunities to automate or otherwise improve the accuracy and efficiency of data collection and reporting.
  
  
  • Is able to pull and integrate data form disparate sources.
  • Produce ad hoc data and reports.
  • Perform data scrubbing, trouble-shooting, quality checking, and usability analysis to identify anomalies, which need to be addressed prior to delivery of analytic results.
  • Develop and produce on a regular basis standard to moderately advanced reports pertaining to clinical quality and safety performance.
  • Collaborate with various stakeholders within the organization, to design and construct clinical quality and safety performance measures and electronic databases for custom recurrent and one-time data collection efforts.
  • Uses Structured Query Language and/or other programming languages or software to query large data sets.
  • Provide project leadership and ongoing support of multiple clinical systems
  • Understand hospital cost accounting and reimbursement methods; familiarity with diagnosis and procedure coding systems.
  • Provide collection and distribution of data and other documents to meet regulatory and system benchmarking requirements
  • Provide data aggregation for indicators for quality management, patient safety, and infection prevention used to evaluate and monitor practice
• 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
  
  
  • Can delve into data to discover discrepancies and patterns.
  • Can build models and analyze data to unearth trends and patterns.
  • Identify opportunities related to costs, utilization, and quality with the ability to report findings to senior leadership.
  • Perform project support, data analysis and synthesis of clinical and administrative data from multiple sources into meaningful summary reports and presentations
  • Provide structured analyses of operations to help determine specific opportunities for clinical performance improvements
  • Attend multi-disciplinary team meetings and review data for opportunities for improvement
  • Partner with operational leaders, department directors and improvement teams. Able to identify major trends from data, prepare graphs and measurement tools and report variances in data
  • Maintain data metrics and provide reports and summaries for committees, meetings and other administrative or medical staff needs
  • Analyze, report, present, and encourage the use of data to monitor and improve patient care and for designing/improving related patient care processes and systems.
  • Prepare comparative analysis by accurately aggregating and summarizing data in statistical and or graphical formats for review by medical staff and clinical management
• 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 an assignable cause.
  
  
  • Demonstrate and apply basic understanding of data collection strategies, data display methods, basic statistical process and performance improvement concepts and principles
  • Applies statistical methods to asses significance of results
  • Ensure that data and statistics can be interpreted; resulting in usable information for Quality Improvement teams to drive improvements.
  • Work with statistical data to create advanced charts, tables, and graphs.
  • Apply statistical process control techniques and advanced statistical methods.
  • Apply regression methods to identify and predict outcomes.
• 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.
  
  
  • Participate in data processes to improve accuracy, efficiency, and productivity of data entry and reporting.
  • Identify major trends in data collection; prepare graphs and report variances in data to leadership
  • Coordinate, prepare, and distribute statistical reports reflecting departmental and service line activities
  • Prepare comparative analysis of data and compile meaningful operational reports
  • Perform data modeling and SQL querying and reporting methods. Write database queries,
  • Will explore opportunities for using Big Data technologies for mining structured and unstructured data.
  • Establish process for coordinating, preparing and distributing statistical reports
• 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 the 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.
  
  
  • Provide tools to present data as information and in the format to make fact based decisions
  • Serve as an internal consultant on statistical analysis.
  • Attend clinical management and medical staff meetings to provide data and assistance in interpreting performance improvement and/or outcomes data
• Technical Database Management and Information Systems
  
  
  • Provide technical management of uploading data, transmitting data files, investigating error reports and correcting data for submission.
  • Design and implement databases using Microsoft Access and/or Microsoft SQL Server.
  • Demonstrate ability to merge clinical and financial data
  • Assist in designing and coordinating the utilization of integrated information system databases and maintaining reports and statistical compilations for data collected
  • Develop and maintain databases and systems for automating, measuring, monitoring and tracking organizational performance changes.
  • Develop comprehensive solutions that require both clinical and technical expertise.
  • Develop and execute system testing scenarios. Operational knowledge of non-clinical departments / systems and interactions between clinical and non-clinical systems.
  • Work with many stakeholders to obtain data; work with Information Technology in creating reports and additions of fields for purposes of tracking and reporting data.
  • Manage data issues, including reviewing, compiling, testing and communicating database upgrades

Job Requirements Required

• Masters Other in public/community health, statistics, epidemiology, health informatics, mathematics or related field and minimum one year experience in the discipline., upon hire and
• Experience using statistical programming languages (SQL, R, Python, SAS or SPSS) for drawing insights from large data sets. and

Preferred

• A minimum of two years of relevant data analysis experience preferably in a public health, clinical research or health care setting. and
• Experience in applying Statistical Process Control methods and
• Experience with modern tools such as Qlik and Tableau
• Certified Professional in Healthcare Quality, upon hire

Where You'll Work

Welcome to Saint Joseph Hospital, a 433-bed hospital founded in 1877 by the Sisters of Charity of Nazareth as the first hospital in Lexington, Kentucky. Led by Sister Euphrasia Stafford, the mission to provide compassionate care to the underserved is still carried out today. Saint Joseph Hospital holds over two dozen national ranks and recognitions and is recognized as a 2024 Best Place to Work in Kentucky.

Saint Joseph is part of CommonSpirit Health, a non-prot, Catholic health system dedicated to advancing health for all people. With approximately 175,000 team members and 25,000 physicians and advanced practice clinicians.

Our commitment to serve the common good is delivered through the dedicated work of thousands of physicians, advanced practice clinicians, nurses, and staff; through clinical excellence delivered across a system of 140 hospitals and more than 2,200 care centers serving 24 states.

Required

• Masters Other in public/community health, statistics, epidemiology, health informatics, mathematics or related field and minimum one year experience in the discipline., upon hire and
• Experience using statistical programming languages (SQL, R, Python, SAS or SPSS) for drawing insights from large data sets. and

Preferred

• A minimum of two years of relevant data analysis experience preferably in a public health, clinical research or health care setting. and
• Experience in applying Statistical Process Control methods and
• Experience with modern tools such as Qlik and Tableau
• Certified Professional in Healthcare Quality, upon hire