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RESPONSIBILITIES
The Institute for Genome Sciences is currently seeking a Bioinformatics Analyst II. The selected candidate will contribute to genomic sequencing projects and scientific analysis of the data generated by next-generation high-throughput platforms by using a variety of bioinformatics techniques and software applications. The selected candidate will generate, assemble, annotate, and analyze genomic data, and prepare the data for further research or publication.
Duties:
- Following established procedures or specific scientific protocols, add value to genome sequencing projects through assembly, annotation, curation, and quality assurance (including, specifically, sequence data quality assurance and quality control, whole-genome and metagenomic sequence assembly, transcriptome and epigenomic data analysis, evaluation and implementation of new genomic data analysis pipelines).
- Perform preliminary analysis of genomic data and format for use by other analysts or scientists.
- Integrate and analyze data from genome sequencing projects, functional genomics analysis, and other school of medicine research projects.
- This includes the development and maintenance of large-scale biological databases.
- Organize genomic data with other relevant data types into databases, displays, or graphic presentations for publication and web presentation.
- Participate in community outreach and training.
- Bachelor’s degree (Master’s preferred) in Life Sciences, including fields, i.e., Biology, Molecular Biology, Genetics, Biochemistry, or Bioinformatics, and 3 to 5 years genomic research experience
- 3 to 5 years experience with Windows and UNIX-based operating systems, and, knowledge of relational database management systems, e.g., Sybase, MySQL, PostgreSQL, or Oracle
PREFERENCES
- Experience managing and manipulating large genomic data sets
- Experience/proficiency with scripting languages, including Perl and Unix shell scripting
- Experience with bioinformatics applications such as BLAST, sequence assemblers, genome browsers
- Familiarity with databases such as NCBI, GO, KEGG
- Familiarity with high-throughput DNA sequencing and microarray platforms
SALARY & COMPENSATION
Commensurate with education and experience. Sign on bonus may be available.HOW TO APPLY
Please visit: http://www.igs.umaryland.edu/careers_staff.php
DEADLINE: Open until filled
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