Data Scientist II - Anesthesiology

About the position

UTHealth Houston is Texas' resource for healthcare education, innovation, scientific discovery, and excellence in patient care. The Data Scientist - Level II is a skillful team player with a clear track record of transforming data into actionable insights and knowledge. This individual is a deliberate and systematic scientist who can clearly articulate the hypotheses to be tested, practice with rigor and precision, and maintain a balanced/independent point of view to achieve valid and accepted findings. The role involves using social determinants of health data sets in conjunction with administrative claims and electronic health records to measure the relational impact of these variables when applicable. It is essential for this person to be a very effective communicator who can guide business and clinical customers to understanding of applied methods, rationale, statistical validity and the appropriate application of insights.

Responsibilities

• Supports faculty and clinical, business and research customers with data science services on a variety of projects which may include clinical operations, hospital quality/safety, finance, supply chain, practice management, population health, personalized medicine and translational research.
• Builds models that incorporate diverse data sets representing administrative, clinical and social health indicators when applicable.
• Applies a variety of methods such as statistical analysis, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
• Performs as a results-oriented problem solver to quickly synthesize complex scenarios, connect abstract patterns/information, apply appropriate methods, and implement practical and timely solutions.
• Demonstrates and embraces a collaborative approach to fully realize the talents of colleagues such as data stewards, IT staff, business analysts, business stakeholders and industry experts.
• Assesses the impact of computer networking and data warehousing on data use and analysis when applicable.
• Performs other duties as assigned.

Requirements

• Master's degree in health care, management, mathematics, engineering, informatics, or a related field
• 3 years of enterprise experience as a data scientist, informaticist, statistician, senior analyst or related role
• Proficiency with statistical packages, databases and programming languages for data preparation, storage, transformation, analysis or visualization. Examples include R, SAS, STATA, SPSS, Matlab, SQL, Python, Hadoop, Pig, Hive, MapReduce, Java Tableau, Excel or other big data frameworks.
• Ability to work with a wide variety of data formats/sources such as relational databases, XML, JSON, CSV, text, sensors/activity trackers, clickstreams, social media, and geolocation.
• Effective communication skills including written, oral, listening and interpersonal.

Benefits

• 100% paid medical premiums for full-time employees
• Generous time off (holidays, preventative leave day, both vacation and sick time - around 37-38 days per year)
• Longevity Pay (Monthly payments after two years of service)
• Retirement/pension plan
• Free financial and legal counseling
• Free mental health counseling services
• Gym membership discounts and access to wellness programs
• Employee discounts including entertainment, car rentals, cell phones, etc.
• Resources for child and elder care