New Positions
The Roy J. Carver Biotechnology Center has an opening for a
Research Specialist in Life Science in HPCBio.
The Carver Biotechnology Center’s High Performance Computing in Biology (HPCBio) team provides campus researchers custom bioinformatics data analysis and training. HPCBio optimizes cutting-edge software and large-scale computational resources to analyze small and large scale genomic research projects.
The primary function of this position will be to process and analyze 'omics data in the HPCBio group.
The requirements and qualification for this position are:
Education: MS degree in a field of science relevant to biological computing. Alternative degree fields will be considered/accepted if accompanied by equivalent experience (depending on nature and depth of experiences if relates to the position). Preferred degree in Computer Science, Bioinformatics, Statistics or Bioengineering.
Experience Required: Minimum of one year experience using bioinformatics methods to analyze high-throughput sequencing data. Preferred: Experience in teaching/training in a group setting or individually bioinformatics analysis techniques and best practices.
Knowledge, Skills and Abilities: Required: Working knowledge of major software tools used in computational genomics. Working knowledge of at least one scripting language (e.g. Python, Perl) or experience using R. Working knowledge of command-line Linux. Effective communication, organizational, team, and personal relations skills. Demonstrated ability to perform effectively in a professional demeanor in a diverse and fast-paced work environment consisting of multiple and changing priorities and tasks with stringent deadlines, under minimal supervision. Preferred: Experience with R and Perl/Python. Basic high performance computational experience, such as submission of jobs on a cluster and how to monitor resource use.
The major duties and responsibilities:
- Responsible for bioinformatics analysis of high-throughput sequence datasets produced by customers of HPCBio. These analyses may include, but are not limited to: genome and transcriptome assembly, annotation, gene expression assessment from RNA-seq and single-cell RNA-Seq data, analysis of ChIP-seq or other epigenomic data, metagenome and microbiome data, and identification and calling of genomic variants.
- Support data archiving and management for HPCBio projects; maintain the HPCBio project management system.
- Perform QC and initial analysis on high-throughput sequencing data produced by the DNA sequencing facility of the Biotechnology Center.
- Prepare analysis results and methods reports for customers of the HPCBio group Facilitate deposition of customer data in public repositories.
- Participate in the maintenance of the software environment and web sites of the HPCBio group.
- Train University faculty and staff regarding bioinformatics analysis techniques and best practices.
- Keep abreast of new developments in sequencing technologies and bioinformatics analyses, and propose improvements in analytical methods utilized within HPCBio and during training.
Type of Position: Full-time Academic Professional with full University benefits package. Salary is commensurate with experience.
Application: Please complete your profile at http://jobs.illinois.edu and upload your cover letter and resume, to include at least three contacts for reference. All requested information must be submitted for your application to be considered.
For additional information, contact Chris Fields, Associate Director, HPCBio.
Phone: (217)244-1890; cjfields@illinois.edu.
For full consideration, applications must be received by Tuesday, June 4, 2019. Interviews may be conducted prior to closing, however, all applications received by closing date will be given full considerations.
The University of Illinois is an Equal Opportunity, Affirmative Action employer. Minorities, women, veterans and individuals with disabilities are encouraged to apply. For more information, visit http://go.illinois.edu/EEO
The University of Illinois conducts criminal background checks on all job candidates upon acceptance of a contingent offer.
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