1) The Research Data Scientist will assist faculty with the use of technology and cutting-edge data science in research, including but not limited to large data manipulation and management, complex statistical analysis and modeling, data mining, and other research methodologies.
2) Work with faculty to apply advanced analytical techniques to extract, manipulate, and analyze large volumes of diverse datasets.
3) Collaborate with data owners (e.g., healthcare providers, utilities companies, etc.) to prepare and, if necessary, de-identify data for general research use.
4) Independently executes large data manipulation, complex statistical applications, programming, analysis, and modeling as part of faculty research projects.
5) Consults with faculty on requests for research data.
6) Researches data options from multiple sources to support faculty research.
7) Works directly with data providers to understand data sources deeply and manipulate databases as needed for research projects.
8) Partners with other University of Chicago campus teams, including the Research Computing Center, to assist faculty with data science research challenges.
9) Works on preparing publications and presentations.
10)Interfaces directly with collaborators.
1) Expert level knowledge with statistical programming, data querying, and manipulation of data within statistical software packages.
2) Knowledge of research techniques and methods.
3) Ability to manage multiple projects simultaneously in a fast-paced environment with strong attention to detail and accuracy is.
4) Proven ability to work independently as well as on a team.
5) Strong written and verbal communication skills.
6) Proven ability working and communicating with faculty.
7) Expert level knowledge of the extraction, transformation, loading and manipulation of large data and databases (e.g. multi-terabyte files).
1) Masterâ™s degree.
1) At least three years of professional work or comparable academic experience.
2) Experience with confidential data, including de-identifying data with PHI.
3) Experience working as a research assistant or data analyst.
4) Experience transforming and connecting isolated data files and databases into shared data assets that can easily be accessed and used by many researchers.
2) Cover letter
Note: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
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