Data Scientist
1 month ago
We are searching for a Data Scientist - someone who works well in a fast-paced setting. In this position, you will harness the largest pediatric healthcare dataset in the nation to deliver analytics, insights, and solutions that help us create a healthier future for our global community.
The individual in this role delivers data analytics and supports the development and implementation of advanced analytic tools to meet the needs of teams throughout the organization. Works with a multidisciplinary team to design, develop, and create analytical solutions through applications of data mining, machine learning, artificial intelligence (AI), and emerging technologies. Collaborates with clinical, business, and information systems team members to ideate and create new analytic solutions impacting patient care and hospital operations. Partners with subject matter experts to understand the relationship
between workflows and data and uses that data to create innovative solutions that support and advance targeted outcomes.
Exercises knowledge of descriptive, predictive, and multivariate statistical techniques and applications, and database analysis tools and techniques, to develop strategic insights to drive operational and clinical goals.
Teaches developers, architects and analysts how to work effectively with vast quantities of data.
Provides data science and statistical support for advanced analytics projects at Texas Children's Hospital. Analyzes and interprets clinical, operational, and other data to provide insight into care delivery and operational initiatives. Responsible for evaluating data quality, preparing data, generating insights, and developing and presenting high-impact data stories. Serves as a subject matter expert associated with data analysis processes, advanced analytics techniques, statistics, and meaningful data visualizations. Provides consultation and support in the development, analysis, interpretation, and management of a
variety of complex data sources. Works on multiple concurrent projects.
Think you've got what it takes?
Job Duties & Responsibilities
•Creates data models and generates data insights
•Generates and communicates business and clinical insights, using various techniques and understanding the strengths and risks of different approaches to data analysis
•Analyzes large, noisy datasets and identifies meaningful patterns that provide actionable results. Data sources may include the Enterprise Data Warehouse, various source systems and databases, and data from external sources such as the Census Bureau. Source data may include both structured and unstructured data
•Evaluates and communicates data quality within the context of the problem being analyzed, and implements appropriate data cleaning techniques when preparing data
•Performs basic and advanced statistical analyses, modeling, interpretation, documentation, and presentation
•Builds and tests statistical, optimization, and machine learning models, including regression, classification, clustering, natural language processing, deep learning, and/or statistical modeling. Applies best practices for data preparation, statistical methods, and approaches to data analysis to ensure valid and reliable results
•Independently owns descriptive, diagnostic analysis of complex data problems, consulting with data architects and subject matter experts as needed.
•Designs, develops, and creates advanced analytical solutions
•Communicates data insights and acts as a data storyteller by translating data analyses into easily understandable dialogue and terms to influence business decisions or actions.
•Provides statistical consultation
•Plans, communicates, and manages risk related to tasks
•Participates in overall analytics and application support delivery activities
Skills & Requirements
•Required master's degree in mathematics, computer science, statistics, engineering, analytics, life sciences, or a specific healthcare field (such as nursing, pharmacy, respiratory, etc.)
•Preferred Ph. D
•3 years of experience in experience in data science, data analytics, business analysis, data modeling, statistical analysis, statistical modeling, or machine learning
•A Ph. D may substitute for 2 years of experience.
About Us
Since 1954, Texas Children's has been leading the charge in patient care, education and research to accelerate health care for children and women around the world. When you love what you do, it truly shows in the smiles of our patient families, employees and our numerous accolades such as being consistently ranked as the best children's hospital in Texas, and among the top in the nation by U.S.News & World Report as well as recognition from Houston Business Journal as one of this city's Best Places to Work for ten consecutive years.
Texas Children's comprehensive health care network includes our primary hospital in the Texas Medical Center with expertise in over 40 pediatric subspecialties; the Jan and Dan Duncan Neurological Research Institute (NRI); the Feigin Center for pediatric research; Texas Children's Pavilion for Women, a comprehensive obstetrics/gynecology facility focusing on high-risk births; Texas Children's Hospital West Campus, a community hospital in suburban West Houston; and Texas Children's Hospital The Woodlands, the first hospital devoted to children's care for communities north of Houston. We have also created the nation's first HMO for children, established the largest pediatric primary care network in the country and a global health program that is channeling care to children and women all over the world. Texas Children's Hospital is also academically affiliated with Baylor College of Medicine, one of the largest, most diverse and successful pediatric programs in the nation.
To join our community of 14,000+ dedicated team members, visit texaschildrenspeople.org for career opportunities.
Texas Children's is proud to be an equal opportunity employer. All applicants and employees are considered and evaluated for positions at Texas Children's without regard to mental or physical disability, race, color, religion, gender, national origin, age, genetic information, military or veteran status, sexual orientation, gender identity, marital status or any other protected Federal, State/Province or Local status unrelated to the performance of the work involved.
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