The Physiological Data Analyst will work with a group of Lurie clinicians and researchers to use modern quantitative and statistical methods to prepare clinical data sets for analysis, and assist with extraction insight from large clinical data sets. Understanding of methods of data analytics and statistical methodology required. Understanding of human physiology preferred. Success in this role will require a creative, engaged, flexible approach to research with a combination of strong technical and interpersonal skills.
1. Coordinate and conduct data collection for clinical/translational research to insure data quality, transparency, validity and reliability. Review and clean data from heterogeneous sources, including bedside monitors, wearable devices, electronic health records and others.
2. Integrate data from varied sources into well-controlled databases with proper documentation and governance. Organize data for transfer/export to collaborators in compliance with standard privacy and data sharing guidelines. 3. Perform exploratory data analysis in pediatric biomedical research using quantitative methods incorporating heterogeneous and complex data types under direct supervision.
4. Contribute to assessing and implementing computational, algorithmic, and predictive analytics approaches to understanding mechanisms, natural history, physiological signatures and effective treatments for pediatric disorders. 5. Assist in experimental design, execution, test and critical evaluation of methods as applied to translational data science research projects.
6. Contribute to design and conduct of continuous validation plans for production systems that incorporate models and algorithms, providing guidelines and support for large-scale implementation. Develop high-quality, readable, reusable code implementing models, algorithms and user-facing application programs.
7. Participate in communication of research methods, implementation, and results to varied audience of clinicians, scientists, analysts, and programmers. Contribute creatively to manuscript writing for results publication.
8. Other job functions as assigned.
1. Completed Master�s degree required. Alternately equivalent experience in data analysis and predictive modeling will be considered in lieu of relevant degree including a PhD student in data science, applied mathematics or a similar quantitative field.
2. Minimum 1 year of experience with progressively more complex data science, applied statistics, machine learning, or mathematical modeling projects. Applications in biomedical/clinical research preferred.
3. Deep curiosity, experience and demonstrated ability acquiring new technical/analytic skills and domain knowledge to support successful contribution to research and development projects is required. Background knowledge of biomedicine, particularly physiology, is preferred.
4. Some experience writing code in either applied educational or professional projects is required, using one or more of the following languages: Matlab, Python, Scala, Java, C++ or similar.
5. Strong verbal and written communications skills with the demonstrated ability to explain technical and statistical concepts to a lay audience.
6. Experience creating informative visualizations for complex, high dimensional data preferred.
7. Experience with physiological signal processing or analysis of time series models preferred.