Research Specialist in Life Sciences, HPCBio
Roy J. Carver Biotechnology Center
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The Roy J. Carver Biotechnology Center (CBC) provides a state-of-the-art research infrastructure to investigators. Our portfolio includes core research facilities supporting genomics, proteomics, metabolomics, flow cytometry, microscopy-to-omics, and bioinformatics.
Process and analyze 'omics data in the HPCBio group at the Biotechnology Center.
Duties & Responsibilities
- Bioinformatics data analysis:
Responsible for bioinformatics analysis of high-throughput sequence datasets produced by customers of HPCBio. These analyses may include, but are not limited to:
• gene expression assessment including bulk RNA-seq, single-cell RNA-Seq, and spatial RNA-Seq data,
• genome and transcriptome assembly and annotation,
• analysis of ChIP-seq, BS-Seq, or other epigenomic data,
• metagenome and microbiome data,
• 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, workflows, 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
Minimum Qualifications: 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). Minimum of one year experience using bioinformatics methods to analyze high-throughput sequencing data.
Preferred Qualifications: Experience in teaching/training in a group setting or individually bioinformatics analysis techniques and best practices. 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.
Knowledge, Skills and Abilities: Working knowledge of major software tools used in computational genomics, with a preference for experience in single-cell analysis, microbiome/metagenome work, and/or population 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.
This is a 100% full-time Academic Professional position, appointed on a 12-month basis. The expected start date is as soon as possible after 8/16/2022. Salary is commensurate with experience.
Application Procedures & Deadline Information
Applications must be received by Monday, August 15, 2022. Apply for this position using the Apply Now button at the top or bottom of this posting. Applications not submitted through this website will not be considered. For further information about this specific position, please contact firstname.lastname@example.org. For questions regarding the application process, please contact 217-333-2137.
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Requisition ID: 1009600
Job Category: Research