The University of Illinois Chicago is looking to solve pressing societal problems in healthcare with data-driven approaches such as AI, simulation, process mining, and social network analysis.
Requirements
- Bachelor’s degree in Computer Science, Statistics, Mathematics, Electrical Engineering, Operations Research. Industrial Engineering or related field required. Master’s is preferred.
- Excellent experience with Python, R, Java, and SQL.
- Excellent experience with version control methods for software/model and data (Git and GitHub)
- Concrete experience with developing and deploying machine learning algorithms, simulation models, and social network analysis.
- Sound experience and knowledge of data-driven research.
- Proficient in specific lab research techniques.
- Knowledge of fundamental human subjects’ research concepts, practices, and procedures.
Responsibilities
- Collaborate with the AI.Health4All research team to develop research objectives and design research projects and proposals.
- Conduct literature searches and reviews.
- Collect both structured and unstructured data from internal and external sources and preprocess them.
- Conduct data analysis using explanatory data analysis and basic statistics, and interpret the results.
- Develop and validate artificial intelligence, simulation, and social network models.
- Deploy models and asses their impact on healthcare quality, equity and efficiency using appropriate methods and KPIs.
- Conduct surveys, interviews, and observations to establish research protocols and identify gaps.
Other
- Ability to articulate and disseminate technical information to multidisciplinary/interdisciplinary teams.
- Maintain detailed records of results and prepare written reports.
- Maintain and process required paperwork.
- Order study supplies and maintain inventories.
- Assist with IRB submissions, modifications, and continuing reviews and maintenance of regulatory documentation.
