The Research Computing Center at the University of Chicago seeks a highly motivated Computational Scientist-Computational Biology that will support the Program in Computational Biology (PCB), lead by Matthew Stephens in the department of Human Genetics, with implementing novel computational and statistical methods for analysis of biological data. The PCB is a group of faculty, students and postdoctoral researchers at the University of Chicago who work on problems related to computational biology. The person in this role will serve as a bridge between research groups, and a technical domain expert in supporting and advising PCB members on computational aspects of their research as well as how to use all the RCC resources available to them. The successful candidate will join a team of computational scientists who are playing a key role in enabling research at the University of Chicago.
Responsibilities
-Assist with compiling, debugging, optimizing, profiling, and porting codes on RCC HPC systems.
-Assist with improvements, scaling, parallelization, and load balancing of large-scale research codes. Assist with maintaining community codes.
-Assist with writing of code, and relevant scripts.
-Develop, install, and test scientific software in support of research goals.
-Work with PCB faculty and their research groups, and respond to their enquiries, to enable them to fully utilize the University and national computational resources for their research.
-Collaborate with RCC peers and vendor partners to enable PCB to leverage all the expertise available at the RCC and beyond.
-Develop, contribute to, and/or help to document computational software products, including data processing and data organization.
-Promote software development best practices and reproducibility of computational research in PCB research groups and the wider UChicago community.
-Support the optimization of the use of their models to efficiently use RCC’s various resources.
-Work with researchers to improve their coding skills through dedicated hands-on workshops, education, and advice.
-Design, create, and present tutorials, hands-on workshops, and documentation.
-Help researchers with grant proposals with a strong computation component.
-Develops and presents technical training materials and web-based documentation. Ensures timely systems support and updates. Assists in conducting information security assessments and risk analysis of computing environment.
-Evaluates past and present technologies to help develop new tools. Ensures all the new tools have been through quality control reviews.
-Perform other related work as needed.
The University of Chicago is an Affirmative Action/Equal Opportunity/Disabled/Veterans and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender, gender identity, national or ethnic origin, age, status as an individual with a disability, military or veteran status, genetic information, or other protected classes under the law. For additional information please see the University's Notice of Nondiscrimination.
Staff Job seekers in need of a reasonable accommodation to complete the application process should call 773-702-5800 or submit a request via Applicant Inquiry Form.
We seek a diverse pool of applicants who wish to join an academic community that places the highest value on rigorous inquiry and encourages a diversity of perspectives, experiences, groups of individuals, and ideas to inform and stimulate intellectual challenge, engagement, and exchange.
Education:
-PhD in Genetics, Statistics, Computer Science, or related field strongly preferred.
Technical Skills or Knowledge:
-Proficiency in R programming language.
-Proficiency in a scripting language such as Python.
-Working knowledge in one of more programming language and libraries such as C++, C, Julia, MPI, OpenMP, etc.
Linux/Unix.
-Software design and development methodologies and best practices.
-Installing and tuning scientific applications software.