The Hunter Lab at the University of Chicago is looking to solve complex problems in administration, maintenance, integration, and troubleshooting of code and application ecosystem currently in production, and to support ongoing research programming by developing and applying advanced computational techniques to biomedicine, particularly machine learning and statistical inference techniques to high-throughput molecular assays.
Requirements
- Programming competency in LISP, Python, R, Java, or JavaScript.
- Utilizes technical knowledge of existing and emerging technologies, including public cloud offerings from Amazon Web Services, Microsoft Azure, and Google Cloud.
Responsibilities
- de novo development of web applications and web services
- developing tools for searching and visualizing NLP results
- data migration and validation
- reporting from various information systems
- creating and modifying database schemas
- evaluating and implementing open source software
- giving demonstrations of current projects
Other
- This engineer will be expected to work independently, interact directly with researchers as needed, and work on multiple projects simultaneously to meet deadlines.
- Write programs according to specifications determined during meetings with end users or as supplied by the Primary Investigator.
- Participate in end-to-end testing. Provide appropriate written documentation of project development and programming code.
- Acts as a technical consultant and resource for faculty research, teaching, and/or administrative projects.
- Resume (required)
