Data Scientist - CREW
As part of the Clinical and Health Informatics Institute (CHI2), the Data Scientist will have the opportunity to work on a national consortium-ECHO-CREW project that aims to better understand how genetic and environmental factors interact to cause specific types of childhood asthma and to turn data into actionable information and knowledge. The data scientist will collaborate with team members to design data collection instruments, integrate and harmonize large-scale datasets. The incumbent will use biomedical informatics to develop computational methods and tools for comparative effectiveness research, data-driven patient risk stratification and clinical decision support for improving healthcare and enabling reproducible research. The data scientist will model clinical and research data problems, discovering insights and identifying opportunities from data through the use of algorithmic, data mining, and visualization techniques.
-Proven knowledge of databases; programming languages like SQL, NoSQL, ETL tools, Python, R, and Unix; and High-performance and cloud computing environments.
-Strong interpersonal and communication skills.
-Ability to convey ideas effectively in speech and in writing.
-Master's degree in Data Science, Biostatistics, Informatics, related quantitative/engineering fields required OR a Bachelor's degree with at least two years' experience applying knowledge of databases; programming languages like SQL, NoSQL, ETL tools, Python, R, and Unix; and High-performance and cloud computing environments.
-Experience with software development practices including testing, documentation and version control.
-Experience working in an academic/scientific research environment.
-Experience with remote data collection from patients.
-Experience with EHR/clinical data.
You will be required to submit a cover letter, and resume for consideration. Your cover letter should highlight your experience and skills as they relate to the listed qualifications for maximum consideration. This application will also require submission of three professional references, including your current or most recent supervisor. References will not be contacted without advance notice.
Questions may be directed to Kim Mcfarlane at email@example.com or 608-263-1130.
This position listing is scheduled to close on March 23 at 11:55 PM CST.