Clinical Data Scientist : Clinical Data Management : 67833

Clinical Data Scientist : Clinical Data Management : 67833


Clinical Data Scientist : Clinical Data Management : 67833

Details of the offer

Min Qualifications EDUCATION and EXPERIENCE Minimum Qualifications: Masters degree in a quantitative discipline (applied mathematics, statistics, computational biology, bioinformatics or related field) Five years of SQL experience Five years of experience working with relational databases Five years of clinical analytics experience in a healthcare or hospital environment

Scope/Function: Responsible for providing meaning to the data in our system and developing methods to leverage that data in our applications. Responsibilities include standardizing and cleaning data (Curation), building prediction models (Analytics), modeling clinical outcomes (Clinical Analytics), and developing metrics to monitor patient treatment and outcomes (Quality Measurement). Member of a cross:functional, collaborative team that works closely with other UTMB Discover teams.

Salary Range

The salary range for this position is 101,231/yr : 161,969/yr commensurate with experience

The pay band for this position is CS33

Specific Job Related Duties
Identify clinical, financial and operational data elements within different systems (EMRs, billing, etc.) Standardize clinical data to common ontologies (such as SNOMED:CT, RxNorm, and LOINC) Develop new ontologies to represent data elements in which no standard yet exists Develop new methods of data extraction and data mining (such as utilizing NLP tools to obtain clinical information from unstructured text) Work on a day:to:day basis with UTMB Discover teams to ensure that our clinical, financial, and operational data are being accurately represented in our applications Formulate validation strategies and methods to ensure accurate and reliable data Support the rest of the Clinical Data and Analytics Team in understanding and processing the data in our system Explore and analyze large medical databases: medical claims, hospital discharges and/or real:time EMR data feeds Research and define variables for analysis and prediction of medical risks Evaluate patients current and future risk based on claims and non:claims data Support daily production tasks that require scientists involvement Conduct QA of models outcomes and monitor model performance regularly Enhance existing predictive models and analytics; and develop new ones Develop, implement and validate new predictive modeling algorithms and applications Build predictive models and complete various analytical projects Provide consultation, training and analysis to clients, account management and sales; deliver sales presentations and product demonstrations as needed Provide critical guidance for the development and implementation of models and analytics products Suggest/build software tools to streamline the building of models and other analytics Conduct exploratory data analysis from complex, disparate data sources to recognize patterns, and identify member performance improvement opportunities Generate hypotheses and analyze data to test and interpret results Serve as the resident data expert and share best practices/approaches for statistics, machine learning techniques, data modeling, simulation and advanced mathematics Partner with Leadership Team to identify critical issues/questions around member performance Collaborate with Director, Clinical Data and Analytics to build analytical acumen across all analytic roles in the organization

Preferred Education
Ph.D. degree in a quantitative discipline (applied mathematics, statistics, computational biology, bioinformatics or related field)
Req id: 67833

Source: Tiptopjob_Xml


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