Clinical Data Scientist (Houston)

Job Opportunity At Memorial Hermann

At Memorial Hermann, we pursue a common goal of delivering high quality, efficient care while creating exceptional experiences for every member of our community. When we say every member of our community, that includes our employees. We know that when our employees feel cared for, heard and valued, they are inspired to create moments that exceed expectations, while prioritizing safety, compassion, personalization and efficiency. If you want to advance your career and contribute to our vision of creating healthier communities, now and for generations to come, we want you to be a part of our team.

Job Description

Position is responsible for analyzing complex and unstructured healthcare data sets using advanced statistical methods for use in data driven decision making. The candidate is responsible for supporting a cross-functional team and providing in-depth data insights for complex healthcare problems that can be approached with advanced analytic techniques. They should also collect, explore, and extract insights from structured and unstructured data for performance and quality improvement in a healthcare setting. The ideal candidate should have experience with the EPIC EMR system. They should also have the ability to write complex SQL queries, design Tableau dashboards, and have knowledge of other visualization platforms such as Microsoft Power BI. Knowledge of healthcare comparative analytics platforms such as Vizient, Leapfrog, or US News and World Report is preferred.

Minimum Qualifications

Education : Masters degree with minimum of five (5) years professional experience is required; Professional experience in medical informatics, healthcare information technology / finance / revenue cycle data management, or EHR data management is preferred; In lieu of Masters degree, 10+ years of relevant professional experience may be substituted

Licenses / Certifications : (None)

Experience / Knowledge / Skills :

• Performs research, analysis, and modeling on organizational data
• Develops and applies algorithms or models to key business metrics with the goal of improving operations or answering business questions. Provides findings and analysis for use in decision making
• Handles moderately complex issues and problems, and refers more complex issues to higher-level staff
• Possesses solid working knowledge of subject matter; May provide leadership, coaching, and / or mentoring to subordinate group
• Strong programming skills in addition to working knowledge and experience of statistical analysis tools
• Demonstrated problem solving, analytical reasoning and decision-making skills
• Demonstrates ability to identify and seek needed information to perform problem / situation analysis
• Strong understanding and experience in researching and resolving data issues with a logical, instinctive, and problem-solving mentality working with large, complex and incomplete sources
• Business analytical skills (process flows, procedures, spreadsheets, modeling, etc.), technical expertise, mathematical skills and good understanding of design and architecture principles are required
• Exhibit strong project management skills, with an ability to work independently on multiple projects with competing priorities and a strong commitment to meeting goals and deadlines
• Understanding of database management tools
• Excellent analytical skills and ability to understand and interpret results based on advanced statistical techniques
• Strong written and verbal communication skills in IT and business environments; ability to communicate to technical and non-technical audiences
• Ability to work under minimal supervision in a fast-paced multidisciplinary environment
• Advanced knowledge of health care, health policy, pharmaceutical, medical device, and related issues
• Superior customer service in the form of first-rate work product and project management
• Strong ability to manage challenging client situations
• Strong ability to troubleshoot and recommend solutions
• Strong ability to translate complex information for a wide range of stakeholders
• Effective oral and written communication skills

Principal Accountabilities