UNIX Systems Administrator - Bioinformatics, Molecular Pathology
Memorial Sloan-Kettering Cancer Center is a world-renowned organization dedicated to the progressive control and cure of cancer through programs of patient care, research, and education. We are gearing up for the next phase of cancer genomics discovery and are growing a bioinformatics team to integrate genomic discovery and technology into the treatment of our cancer patients.
Together with the Bioinformatics Core, the Molecular Pathology Department is looking to add a UNIX System Administrator to set up and maintain a dedicated high performance computing (HPC) cluster, for the analysis, storage and back-up of Next-Generation Sequencing (NGS) data from clinical tumor specimens.
The UNIX System Administrator will evaluate various hardware platforms for data storage and distributed computing, given the computing resource needs of the Pathology Bioinformatics group. The candidate will oversee and administer user access to data and use of computing resources, as well as install and update requisite libraries and software for running analysis pipeline and algorithms on cluster. Other responsibilities for the position include:
•Maintaining and regulating grid engine distributed computing capability on cluster.
•Implementing regular system updates and back-ups of sequencing data and pipeline output.
•Setting up and maintaining device mounts (SAMBA/CIFS/NFS) on various system architectures (Windows/UNIX).
•Performance monitoring, tuning and troubleshooting to ensure robust and high-speed data transmission between devices and cluster.
Qualified candidate will have Bachelor’s degree (Masters or PhD preferred) in Computer Science, Electrical or Computer Engineering and 5+ years experience (3 years experience for PhD) with Linux/UNIX cluster system administration, hardware and software implementations of distributed computing platforms. Extensive knowledge of hardware and software platforms for implementing distributed computing clusters and effective communication and documentation skills are required.
Working knowledge of TCP/IP networking , LDAP, Nagios, iptables, rsync, SGE, Kickstart, Puppet, is preferred. Experience with parallel and clustered file systems, virtualization, scripting or programming in Python, Ruby or Java is also a plus, along with familiarity with bioinformatics analysis and algorithms.