The National Center for Genome Analysis Support (NCGAS) helps the U.S. biological research community analyze, understand, and make use of the vast amount of genomic information now available. Primary focus areas include transcriptome- and genome-level assembly, phylogenetics, and metagenomic, meta-transcriptomic, and community genomic analysis. NCGAS is a collaborative project between Indiana University (IU) and the Pittsburgh Supercomputing Center (PSC) at Carnegie Mellon University.
Through NCGAS, users can access:
Compute resources at IU and XSEDE.
Curated software packages maintained on high-performance computing (HPC) clusters.
Consulting time and expertise from NCGAS staff.
Training materials and workshops about genomics and related HPC tools.
These services at no cost to NSF-funded researchers (or those doing similar work). All researchers may obtain computational and storage resources on a fee-for-service basis from NCGAS.
NCGAS is affiliated with the Indiana University Pervasive Technology Institute (PTI) as a Cyberinfrastructure and Service Center. PTI Service and Cyberinfrastructure centers focus on developing and delivering leading-edge services that benefit the university, the state of Indiana, and the national scholarly community. Please see our website for more information on our services, staff, and activities.
This position is based in the Cyberinfrastructure building, which features floor-to-ceiling windows, collaborative and flexible spaces, a conference room with a 24' x 9' bezel-less display for our workshops and seminars, and a cafe.
Working as a team member, supports genomics and other 'omics research at Indiana University and for the national audience served by NSF-funded NCGAS. Independently consults with biologists and other life science researchers undertaking computational analyses of genomic, transcriptomic, metagenomic, or other 'omics data sets; initiates installation and configuration of analytical software packages. Performs some programming and scripting to develop software; assists with data management and transformations; assists in development of research workflows; provides direct assistance in executing those analyses and workflows on IU's High Performance Computing systems.
This role assumes some level of flexibility as a result of pending and future funding opportunities, individual professional goals, and changes to technology.
Acts as a representative of IU and NCGAS in outreach and training, presenting at meetings and project-related sessions, and presents technical information to interested groups and constituencies. Builds relationships with appropriate units across IU campuses to expand impact and cultivate new engagement opportunities. Trains, mentors and provides guidance and feedback to co-workers - and REU students - less experienced in areas of expertise. Pursues personal professional development, including on-the-job learning.
Working independently and as part of a coordinated team, provides computational-biology consulting for life science researchers at Indiana University and nationally, with an emphasis on the appropriate use of existing applications. Working independently, installs, configures, customizes, and supports analytical software for genomics and other 'omics research on IU research computing systems. This includes appropriate developer, administrator, and user documentation for software and gateways like Galaxy and GenePattern. Works with individual researchers within IU and nationally to provide intellectual contributions to their projects, publications, and grants. Performs metrics of performance and participates in grant and report writing in support of the goals of NCGAS, Science Community Tools, and Research Technologies. Performs other professional duties as assigned.
Bachelor's degree in a life science such as biology, microbiology, or biochemistry, or in computer science with a specialty in bioinformatics, and two years of professional technical experience (can include graduate training) in analyzing large biological datasets.
Combinations of education and related experience may be considered.
Experience with any scripting language, such as Python, R, UNIX shell script, or Perl. Experience working on batch operated clusters or high performance computing platforms. Experience working with DNA sequence data and analyses for genome assembly, alignment, and annotation. Experience with de novo and reference-based genomics analysis. Familiarity with next generation sequencing, Unix/Linux operating systems and biological data management. Broad familiarity with currently available software with the ability to match applications to specific research needs and monitor emergent applications. Ability to effectively communicate and exchange information with a wide diversity of individuals/groups. Strong customer service orientation.
Master's or Doctoral degree in either a life science such as biology, microbiology, or biochemistry or in a computer science with a specialty in bioinformatics. Experience in/with a DNA sequencing laboratory and familiarity with the current state of the art in 'omics-based life sciences research. Preference is given to individuals with experience answering actual biological experimental questions with 'omic sequence sets, particularly with genomic analysis. Experience with batch operated clusters or other high performance computing platforms in a university environment.
Working Conditions / Demands
Must work well as part of a team, with the ability and willingness to work in a collaborative environment where knowledge, code, and effort are shared among colleagues; ability to cooperate and collaborate on projects/operations with other staff; keep a positive attitude toward project goals, and take ownership of issues and assigned tasks; commit to sharing knowledge through documentation, communication and collaboration. Must show a high degree of self-initiative and commitment to expanding skills and expertise through a variety of methods, including self-study, working/mentoring with colleagues, and through internal and external training. Presentations at the national and international level are expected. Must be able to travel internationally.
Equipment utilized includes computers, projectors, and servers.
Able to type for long periods of time and lift computers and computer projectors.
IU Campus - Cyberinfrastructure building
Salary Plan: PAE
Salary Grade: 3IT
Job Function: Information Technology
Due to the COVID-19 pandemic, there may be differences in the working conditions as advertised in our standard job postings (e.g., the ability to travel from one campus to another, etc.). If you are invited for an interview, please discuss your questions or concerns regarding the working conditions at that time.
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