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RESPONSIBILITIES
- Process and manipulate large genomic sequence data for clinical genomic diagnostics.
- Perform bioinformatics analyses of data produced by massively parallel next generation sequencing.
- Develop and use computational tools to analyze large datasets.
- Support NGS pipeline development and automation.
- Conduct data mining over internally produced and publicly available data sets.
- Help organize and maintain internal databases.
- Collaborate with scientists.
REQUIREMENTS
- MS/PhD in Computational Biology, Bioinformatics, Genomics, Computer Science, Applied Mathematics, Statistics or related field; Multidisciplinary experience preferred.
- 2-3 years of computational biology/bioinformatics experience preferred.
- Experience in biological sequence analysis and analysis of next-generation sequencing data
- Experience in cancer research and/or NGS variant calling methods is highly desired.
- Knowledge of human genetics, statistics, algorithms and exploratory data analyses
- Fluency in programming and scripting languages is desired.
- Excellent communication and interpersonal skills
PREFERENCES
The ideal candidate must be able to work in a collaborative environment and be able to provide evidence of relevant expertise in the form of, software and application development, scientific publications, and previous experience in the field.LOCALE
Houston, TXCOMPENSATION
Competitive Salary and BonusHOW TO APPLY
Please visit http://www.bmgl.com
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