Offer summary

Qualifications:

Bachelor's degree in science, engineering, computer science, mathematics, statistics, or related STEM field., Experience with programming languages like Python and libraries such as numpy and sciPy., Knowledge of data management, ETL processes, and handling large datasets., Strong communication skills for storytelling with data and engaging with cross-functional teams..

Key responsibilities:

Analyze complex and unstructured data sets to support data-driven decision making.

Provide in-depth data insights for complex business problems using advanced analytics techniques.

Collaborate with cross-functional teams to extract insights from structured and unstructured data.

Develop and communicate findings clearly to technical and non-technical audiences.

Job description

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 Summary

Mines and analyzes complex and unstructured data sets using advanced statistical methods for use in data driven decision making. Responsible for supporting cross-functional teams and providing in-depth data insights for complex business problems approached with advanced analytic techniques to collect, explore, and extract insights from structured and unstructured data. This position is an ideal first step for candidates familiar with a hospital setting to transition to a data science career. Typically reports to the Manager of Data Science.

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.
Experience in choosing right algorithms for the specific problems.
Develops evaluation metrics.
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
Experience with NLP and NLU will be good to have.
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
Demonstrates commitment to the Partners-in-Caring process by integrating our culture in all internal and external customer interactions; delivers on our brand promise of “Advancing health. Personalizing care” through compassion, courage, credibility, and commitment to community.

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.
Other duties as assigned.

Required profile