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Job Description
MINIMUM QUALIFICATIONS
Education:
Bachelor’s Degree in science, engineering, computer science, mathematics, statistics or related STEM field required. Master’s Degree in Data Science preferred. Licenses/Certifications:
(None) Experience / Knowledge / Skills: Demonstrated experience performing multiple projects (academic or professional) using a programing language like Python and libraries (numpy, sciPy, etc.) is required
Professional experience in a hospital setting with medical informatics, healthcare information technology/finance/revenue cycle data management, or Electronic Health Record (EHR) data management is preferred
Familiarity with the Extract, Transform, and Load (ETL) process, working knowledge of data bases and handling large data sets
Ability to communicate, gather requirements, and engage in storytelling with data
Demonstrates problem solving, analytical reasoning, and decision-making skills
Demonstrates ability to identify and seek needed information to perform problem/situation analysis
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
Exhibits 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 SQL database management tools
Demonstrates interest in learning new tools and processes
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
Effective oral and written communication skills
PRINCIPAL ACCOUNTABILITIES Works collaboratively with cross-functional teams to draw insight and intelligence from large datasets and electronic medical records.
Provides in-depth data insights from structured and unstructured data for complex business problems through use of advanced analytics techniques, predictive modeling, data mining/visualization and pattern analysis tools.
Performs research, analysis, and modeling on organizational data.
Develops and tests hypotheses and communicates findings in clear, precise and actionable manner to project and leadership teams.
Works closely with teams to identify, understand, and resolve data issues and improve efficiency, productivity and scalability of data processes.
Assists with the evaluation of data science vendors and tools.
Ensures safe care to patients, staff and visitors; adheres to all Memorial Hermann policies, procedures, and standards within budgetary specifications including time management, supply management, productivity and quality of service.
Promotes individual professional growth and development by meeting requirements for mandatory/continuing education and skills competency; supports department-based goals which contribute to the success of the organization; serves as preceptor, mentor and resource to less experienced staff.
Demonstrates commitment to caring for every member of our community by creating compassionate and personalized experiences. Models Memorial Hermann’s service standards by providing safe, caring, personalized and efficient experiences to patients and colleagues.
Other duties as assigned.
Compétences linguistiques
- English
Avis aux utilisateurs
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