Sponsor: Rubicon Genomics
Recording Date: 2/19/2014
Recording Time: 1 hour
The Kansas IDeA Network of Biomedical Research Excellence (K-INBRE) is a 10-campus collaborative network fostering a community of research and training in the state of Kansas. Key to the success of the K-INBRE program is the genome analysis and bioinformatics support provided by service-oriented facilities at the University of Kansas, Kansas State University, and KU Medical Center. The KU Bioinformatics Specialist would be actively engaged in helping KU researchers develop and analyze genomics projects, providing computational biology and statistical expertise. The Bioinformatics Specialist would also be free to develop their own research program, mentored by, and collaborating with KU research faculty.
50% - 1. Service-oriented bioinformatics support
Provide support to KU researchers in the design and computational analysis of genome biology projects, including assisting in writing up the work for publication. Many of these projects are likely to involve analysis of next-generation sequencing datasets (for instance, RNA-seq).
35% - 2. Genomics research
We anticipate the Bioinformatics Specialist will have time outside of service-oriented activities to pursue other lines of genomics and systems biology research, potentially working collaboratively with genetics and genomics researchers at KU.
10% - 3. Software maintenance and administration
Ensure that any software used by the core is working, updated, and available to use by members of the campus community. Coordinate with the Advanced Computing Facility, who host nodes used by the core, to ensure the core's computing infrastructure is properly administered.
5% - 4. Training
Help train junior researchers (for instance, graduate students) to use various analytical tools for genome analysis.
1. Masters in biology (broadly defined) or computer science (broadly defined).
2. Solid understanding of Linux or Unix, and demonstrated experience programming in languages such as Perl, Python, C, C++, Java, and so on.
3. A record of published, peer-reviewed research in areas related to the analysis of biological data.
1. PhD in biology or computer science.
2. Experience with the analysis of next-generation sequencing data (for instance Illumina or 454 data).
3. Ability to manage and organize multiple research projects.
4. Ability to work in a collaborative environment.
Queries about the position can be directed to the Director of the facility, Dr. Stuart Macdonald (firstname.lastname@example.org). Further details, and instructions on how to apply for the position can be found at http://employment.ku.edu/jobs/2323.
Dr. Stuart J. Macdonald
Director, K-INBRE Bioinformatics Core Facility
Department of Molecular Biosciences
4043 Haworth Hall
1200 Sunnyside Avenue
University of Kansas