The Research Computing Center and the Institute for Molecular Engineering’s Center for Immunoengineering are looking for a highly motivated Computational Scientist to work closely with faculty and researchers at the University of Chicago. The successful candidate will play a key role in characterizing and engineering the immune system in health and disease by working with the Faculty labs at the Center for Immunoengineering. Emphasis will be to generate new biological insights by developing new approaches to analyzing large-scale and high-throughput data (e.g., next-generation sequencing, high-throughput screening) generated in the lab and in collaboration with researchers and clinicians at the University of Chicago and beyond.
Develop, apply, document, and maintain computational tools, both for own use and to support analysis by biologist colleagues without formal computational training. Critically evaluate computational solutions.
Develop customized computational solutions supporting new kinds of assays and experiments. Understand the analytical needs of new experiments, working closely with wet-lab experimental biologists.
Implement and optimize successful algorithms and methods to be shared for use by the broader community.
Develop figures and reports, which provide transparency into the data quality and characteristics, and automate the production of such reports as routine components of computational analysis pipelines.
Reports data to supervisor and team, attends team meetings to share results, plan projects and experiments, and to ensure that projects support current team goals.
Maintain and organize computational infrastructure and resources.
Contribute to generation of protocols, publications, and intellectual property.
Other related tasks as required.
PhD degree in computer science, computational biology, bioinformatics, quantitative science or related field required.
Must possess practical experience in data analysis, preferably in an independent project in an academic research laboratory setting.
Technical Knowledge or Skills:
Fluency in Unix, standard bioinformatics tools (Python, R, or equivalent), and a programming language (C/C++, Java) required.
Background in statistics and machine learning preferred.
Knowledge of SLURM or other job scheduler, and/or bioinformatics tools preferred.
Excellent communication skills and the ability to interact professionally with all levels of staff and with external contacts in a fast-paced environment required.
Excellent organization and time management skills required.
Knowledge of biology or immunology is preferred. Inclination to acquire such knowledge is required.
About University of Chicago
The University of Chicago Research Computing Center (RCC), a unit in the Office of Research and National Laboratories (RNL), provides high-end research computing resources to researchers at the University of Chicago. It is dedicated to enabling research by providing access to centrally managed High Performance Computing (HPC), storage, and visualization resources. These resources include hardware, software, high-level scientific and technical user support, and the education and training required to help researchers make full use of modern HPC technology and local and national supercomputing resources. The Office of Research and National Laboratories oversees the conduct of sponsored research, research program development, multi-institutional research institutes, national laboratory board, and contract management functions. RNL supports the development and coordination of research-related communications and educational programs at The University of Chicago. RNL oversees the management of two Department of Energy contracts for Argonne National Laboratory and Fermi National Accelerator Laboratory. When combined with the Lab R&D budgets, the office oversees approximately $1.4 billion ...in sponsored research. RNL works closely with individual scholars, departments, and divisions to encourage, seed, and coalesce research across the University, Argonne, and Fermilab campuses.