1) Acquire statistical knowledge and programming skills on emerging methods and tools if necessary for a given project.
2) Implement appropriate quality assurance procedures to enhance the validity and reliability of the study results.
3) Write reports and presentations of the statistical analyses results for scientific and public dissemination and communication (presentations, manuscripts, web-site, etc.).
4) Conduct literature reviews and summarize findings needed for scientific reports and manuscripts.
5) Serve as a resource person for data collection and management staff as well as laboratory staff regarding data issues, quality control and transformation.
6) Provide specific support to the Dean for Population and Precision Health in the areas of population and precision health research as well as information systems development and management, creation and management of data repositories, data sharingand process improvement initiatives at the Institute.
7) Create and maintain appropriate documentations of statistical methods and programming codes.
8) Perform a range of activities to facilitate the design of research project and the publication of their results. Uses knowledge of statistics to help develop objectives and statistical procedures for the project.
9) Write grant proposals for faculty throughout the unit.
10) Assist in developing and implementing new innovative procedures in the areas of data collection, quality control, presentation of results, and statistical analysis.
11) Write statistical computer programs and reviews computer output for consistency and quality.
12) Perform statistical analysis and associated programming and data management tasks for integrated datasets derived from epidemiology, genomic (including NGS and microbiome), clinical (including EHR), environmental (including environmental mixtures), administrative (including Medicare/Medicaid), image, and geospatial/sensor-based studies.
1) Strong interpersonal skills and ability to work as part of a multi-disciplinary team, while contributing to a high quality and respectful work environment.
2) Strong oral and written communication skills, with the ability to communicate effectively to colleagues and staff across multi-disciplinary areas.
3) Ability to manage multiple projects in a dynamic environment with changing priorities.
4) Proven ability to establish realistic goals and deliver work on schedule.
5) Ability to work independently and solve problems as they arise and communicate effectively with staff, colleagues, Co PIs, and PI.
6) Familiarity with theoretical aspects of relevant statistical methods as well as their appropriate application, interpretation, assumption and limitation.
7) Strong quantitative and writing skills are highly important.
8) Specialized advanced knowledge, education and/or training in statistical analyses methods, tools and associated software.
1) Advanced degree in Biostatistics, Statistics/Machine Learning, Quantitative Epidemiology Methods, or related analytic fields.
1) Experience in using major statistical packages and languages including R statistical software, Python, Machine Learning and Artificial Intelligence algorithms, SAS/Stata and GIS software.
2) Knowledge of genomics, informatics infrastructure/security, web-/cloud-computing.
3) Strong writing and editing skills of manuscripts (and/or grant applications).
4) Experience with machine-learning and artificial intelligence analyses.
1) Resume 2) Cover Letter
Note: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
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Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via the Applicant Inquiry Form.
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About University of Chicago
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