Data Scientist II - McWilliams School of Biomedical Informatics

Overview McWilliams School of Biomedical Informatics is shaping the future of patient care, disease prevention, and biomedical discovery by transforming data into innovative solutions powered by artificial intelligence, data science, and informatics. We are the only biomedical informatics program with advanced doctoral degrees in Texas and the largest and only free-standing informatics school in the nation.
This position will support clinical data request services for entire UTHealth Houston. This position will perform daily data quality validation, mapping of electronic health record data to standardized clinical terminologies, and data architecture management to ensure accurate, reliable, and accessible datasets for the UTHealth Houston research community.
What we do here changes the world. UTHealth Houston is Texas’ resource for healthcare education, innovation, scientific discovery, and excellence in patient care. That’s where you come in.
Once you join us you won't want to leave. It’s because we reward our team for the excellent service they provide. Our total rewards package includes the benefits you’d expect from a top healthcare organization (benefits, insurance, etc.), plus:
Position Summary 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. Uses 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.
Position Key Accountabilities 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.
Apply a variety of methods such as statistical analysis, data mining, predictive analytics, time series analysis, multivariate regression analysis, statistical process control and optimization solutions.
Perform as a results-oriented problem solver to quickly synthesize complex scenarios, connect abstract patterns/information, apply appropriate methods, and implement practical and timely solutions.
Demonstrate and embrace a collaborative approach to fully realize the talents of colleagues such as data stewards, IT staff, business analysts, business stakeholders and industry experts.
Assess the impact of computer networking and data warehousing on data use and analysis when applicable.
Perform other duties as assigned.
Certification/Skills Proficiency with statistical packages, data bases 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.
Minimum Education Master’s degree in health care, management, mathematics, engineering, informatics, or a related field
Minimum Experience 3 years of enterprise experience as a data scientist, informaticist, statistician, senior analyst or related role
Preferred Experience Strong data management (SQL, ETL) and visualization (Tableau, Power BI) skills, proficiency in statistical software like R or Python, deep knowledge of clinical data warehouse, understanding of HIPAA regulations, and familiarity with healthcare terminology. Also preferred is training or experience in clinical informatics; Technical skills in machine learning, advanced statistics, data mining, and the ability to build predictive models are a plus.
Physical Requirements Exerts up to 50 pounds of force occasionally and/or up to 20 pounds frequently and/or a negligible amount constantly to move objects.
Security Sensitive This position is a security-sensitive position pursuant to Texas Education Code §51.215 and Texas Government Code §411.094. To the extent that a position requires the holder to research, work on, or have access to critical infrastructure as defined in Texas Business and Commerce Code §117.001(2), the ability to maintain the security or integrity of the infrastructure is a minimum qualification to be hired for and to continue to be employed in that position. Personnel in such positions, and similarly situated state contractors, will be routinely reviewed to determine whether things such as criminal history or continuous connections to the government or political apparatus of a foreign adversary might prevent the applicant, employee, or contractor from being able to maintain the security or integrity of the infrastructure. A foreign adversary is a nation listed in 15 C.F.R. §791.4.
Residency Requirement Employees must permanently reside and work in the State of Texas.

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