The Genotyping Technician (Staff Research Associate I) will devote 100% time supporting the operation of a high throughput genotyping and microarray facility at the University of California, Los Angeles (UCLA).
The tasks are as follows:
1. Set up and perform all biochemical protocol steps involved in microarray and/or sequencing based genotyping, gene expression and epigenetic experiments carried out in the facility. Requires a combination of bench work and operation of automated systems including robotic liquid handlers, confocal laser scanners and mass spec devices etc.
2. Maintain computerized databases of samples received, experimental designs and data output.
3. Analyze project data and generate data summary reports for client labs.
4. Interact with client representatives to design and implement experiments
5. Maintain stocks of lab solutions, chemicals, reagents and clean glassware.
6. Maintain organization of laboratory, including waste management and safety.
7. Learn and perform new techniques and protocols as needed.
Qualifications are:
1. Bachelor degree in the life sciences.
2. At least one year of post-grad experience in the biochemical techniques and molecular biology.
3. Molecular biology bench work (PCR, sequencing etc.) experience a plus.
4. Experience with RNA (preps, RT-PCR or microarray work) a plus.
5. Must have ability to work independently within an established framework.
6. Excellent communication and organizational skills.
7. Proficiency with Windows XP, Vista, 7 and Macintosh operating systems, Microsoft Excel etc.
8. Familiarity with Filemaker Pro desirable but not required.
9. Commitment to at least one year of service.
Location: UCLA
Compensation: $35,915-$42,849/year plus full health benefits
Principals only. Recruiters, please don't contact this job poster.
Please, no phone calls about this job!
Please do not contact job poster about other services, products or commercial interests.
losangeles.craigslist.org
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Monsanto is seeking highly motivated individuals to join its Molecular Breeding organization to provide mechanical support and expertise for its High Throughput Genotyping platform. As a Maintenance Technician, you will provide technical services to both maintain and optimize a fully automated high throughput genotyping system.
Responsibilities:
Assist in the coordination of scheduling for service/maintenance work.
Conduct and complet www.nature.com
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Monsanto is seeking a highly motivated individual to provide automation system support for the Woodland, CA High Throughput Genotyping center. In this role, you will perform a variety of tasks associated with the troubleshooting and maintenance of sophisticated production research and testing equipment. You will work in a safe and efficient manner in support of production operations.
Responsibilities:
Troubleshoots and repairs electric www.nature.com
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Monsanto is seeking a highly motivated individual to provide automation system support for the Woodland, CA High Throughput Genotyping center. In this role, you will perform a variety of tasks associated with the troubleshooting and maintenance of sophisticated production research and testing equipment. You will work in a safe and efficient manner in support of production operations.
Responsibilities:
Troubleshoots and rep www.nature.com
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Chip-based high-throughput genotyping has facilitated genome-wide studies of genetic diversity. Many studies have utilized these large data sets to make inferences about the demographic history of human populations using measures of genetic differentiation such as FST or principal component analyses. However, the single nucleotide polymorphism (SNP) chip data suffer from ascertainment biases caused by the SNP discovery process in which a small number of individuals from selected populations are used as discovery panels. In this study, we investigate the effect of the ascertainment bias on inferences regarding genetic differentiation among populations in one of the common genome-wide genotyping platforms. We generate SNP genotyping data for individuals that previously have been subject to partial genome-wide Sanger sequencing and compare inferences based on genotyping data to inferences based on direct sequencing. In addition, we also analyze publicly available genome-wide data. We demonstrate that the ascertainment biases will distort measures of human diversity and possibly change conclusions drawn from these measures in some times unexpected ways. We also show that details of the genotyping calling algorithms can have a surprisingly large effect on population genetic inferences. We not only present a correction of the spectrum for the widely used Affymetrix SNP chips but also show that such corrections are difficult to generalize among studies. mbe.oxfordjournals.org
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