Jr. Clinical Data Scientist
2010011 BSD - Center for Research Informatics
About the Unit
Since 2011, the Center for Research Informatics (CRI) has advanced the forefront of biomedical and biological sciences at the University of Chicago and beyond. Our 35+ member staff has expertise in clinical data analytics, machine learning, natural language processing, software engineering, and genomic analysis. Recent projects have included designing predictive models of adverse clinical events, developing a clinical trials management software system, and creating custom genomics pipelines. Our team built and now manages one of the largest research-based clinical data warehouses in the country, along with an infrastructure environment that supports high performance computing, compliant storage, and virtualization. In addition to working on world-class research at UChicago, we collaborate on major multi-institutional projects that are changing the face of healthcare and data science. Our work also extends into the private sector, where we support both mature and start-up firms with expert consulting on clinical and genomic data analysis.
We are looking for a highly motivated Data Scientist to join our growing, multi-disciplinary clinical informatics research team. Your role will include developing data driven prediction models of clinical patient data; performing statistical learning over large, disparate data sets; and building visualization tools. The primary focus will be on predictive modeling of rare diseases, with the opportunity to play a key role in groundbreaking informatics projects as part of the Clinical Research Data Warehouse team. You will work under the direct supervision of CRI's Faculty Director Samuel Volchenboum, MD, PhD, (Associate Professor, Department of Pediatrics) and Anoop Mayampurath, PhD (Research Assistant Professor, Pediatrics and Senior Statistician, CRI).
- Processing and mining of large-scale clinical data (data-cleanup, summarizing, visualizing, etc.).
- Integration of heterogeneous data sets.
- Implementing statistical models for testing out hypotheses, inference.
- Utilizing machine learning principles for prediction of clinical outcomes.
- Writing scientific reports summarizing studies and presentation of research.
- A strong programming background is a requirement, along with knowledge of data analytics. The candidate will possess excellent problem-solving and communicative skills with the ability to work in multi-disciplinary team.
Technical and professional requirements:
- Significant programming experience in Python, or R.
- Strong modern algorithm fundamentals.
- Knowledge of principles behind predictive analytics.
- Experience (one year) modeling healthcare data (clinical, electronic or administrative).
- Familiarity with code versioning systems.
- Technical writing skills.
- Familiarity with database design, data models, or ontologies.
- Master's Degree in Informatics, Computer Science or Statistics required.
- Graduate degrees in related disciplines and experience in analyzing large-scale data sets preferred.
- A minimum of two years experience analyzing data using statistical software packages required.
- Cover Letter
NOTE: When applying, all required documents MUST be uploaded under the Resume/CV section of the application.
Depends on Qualification
Scheduled Weekly Hours
Job is Exempt?
Drug Test Required?
Does this position require incumbent to operate a vehicle on the job?
Health Screen Required?
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