Are you passionate about science and know how to navigate big data? Or want to learn how to tame big data in a collegial environment? Then join me in building a Genomic Data Science Laboratory.
The goal is to build an analytical infrastructure to sift through the vast amounts of genomic data to make discoveries that can be translated to improve the health of people. This infrastructure will include statistical and computational methods, pipelines and workflows, streamlined access to big data, and research software engineering, bioinformatic and analysis team.
To build and harness this infrastructure, I am hiring a permanent staff of data scientist, research software engineer, bioinformatician as well as pre and post doctoral trainees.
The bioinformatician's mission will be much like Google's mission statement: "to organize the world's (biomedical) information and make it universally accessible and useful". The data scientist will scout the data to delve into the biological mechanisms that drive complex diseases. The research software engineer will build the hardware and software framework to implement this mission.
In this environment, students and postdocs will be able to quickly perform big data-driven in-silico experiments to answer pressing biomedical questions.
- A degree in computer science, bioinformatics, physics, engineering, statistics, or other quantitative disciplines with interest in applying skills to biomedical research.
- Strong analytical, statistical, quantitative, and computational/programming skills. Should be comfortable with large data sets, distributed computing, and databases.
- High performance computing and cloud computing experience (a plus)
- Passion for science and learning
To formally apply, please send CV in PDF format to Hae Kyung Im (haky at uchicago dot edu).