High Performance Computing Scientist for Biomedical and Life Sciences
Keck & Center for Genome Analysis
The primary responsibilities will be to participate in the operation of computing at both centers; collaborate with researchers on projects, helping users design, write, and optimize custom applications. Use excellent communications skills to trouble shoot users’ problems and teach effective techniques for using our computing resources. Will work closely with the system administrators to manage computing resources and the input/output of data. Considered candidates will have a Ph.D. degree in a computational field. Extensive experience working in Linux environment; Mastery of several of the following: C, C++, perl, java, python, R, Matlab. Must have excellent communication skills and the ability to juggle multiple projects/collaborations simultaneously. The ideal candidate will also possess:Formal computer science and/or statistics training. Experience in a medical/biological lab; Experience with bioinformatics methods, web programming technologies, relational databases, genomic data/high throughput sequencing, computational clusters, including batch queuing systems, multi-petabyte storage systems and parallel computing. Candidates should also have the ability to work independently and with full ownership of projects. Review of the applications will begin on June 1 and continue until filled. Yale University is an Affirmative Action/Equal Opportunity Employer and welcomes applications from women, persons with disabilities, protected veterans, and members of minority groups.
About Yale University
Join a growing team of scientists helping Yale biomedical and life scientists bring high performance computing to their research projects. These scientists use Yale’s HPC facilities and have a wide range of research interests and abilities. A flexible, can-do attitude is required. The successful candidate will work jointly with the HPC Resource at Yale’s world-class Center for Genome Analysis and Yale’s W. M. Keck Biotechnology Resource Laboratory.