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Location: - (Stanton, Minnesota, Mid-West United States, USA)
Open Til: 29-Apr-12
Industry Sector: Agribusiness
Industry Type: Agronomy
Career Type: General
Job Type: Full Time
Minimum Years Experience Required: N/A
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Division: R&D (Crops)
Function: Traits Projects
State/Province: Minnesota [MN]
Country: United States [US]
Position Title: Marker Implementation Scientist 2
Job ID: 2906
The primary purpose of the Marker Implementation Scientist 2 is to apply genetic information through the development of novel programming to enable marker assisted breeding in maize. This position will support the Global Genetic Project Lead (GPL) Team by implementing best practices, sharing code, and training to ensure tools are available to implement molecular breeding across the Global Syngenta network of corn GPL scientists. The position will also provide programming and database expertise in support of the implementation of molecular markers, and will develop methodologies and protocols to meet trait and germplasm objectives.
This position is also responsible for the following:
1) participate in the design and management of marker discovery projects in Maize for selected traits, particularly through coding high throughput analysis workflows, designing databases to support input, and ensuring that high quality data collection and analyses/methodologies are practiced
2) contribute to the consolidation and synthesis of trait specific genetic information via meta analysis procedures to provide high quality genetic results and improve marker implementation
3) ensure emerging analytical methods are deployed as appropriate on Syngenta legacy genetic projects, and broadly disseminate this information and assist in the appropriate training of Syngenta staff
4) participate as a member of multi-disciplinary project teams to develop products and extract value from Marker Implementation initiatives
5) fully participate as a member of a group of scientists representing the disciplines of Geographic Information Systems Science, Association Genetics and Data Mining
6) determine methods to utilize these data sources and disciplines to increase marker implementation success rate in Maize.
Knowledge, Skills & Experience: Knowledge, experience & capabilities
This position requires a Ph.D. degree or equivalent in Agronomy, Agricultural Genetics, or a related field, and two (2) years of related experience.
The two years of required experience must include two years of demonstrated experience with each of the following:
1. Conducting data analysis and workflow development utilizing association genetics and QTL mapping in support of molecular marker discovery projects that seek to identify key traits in agronomic crops.
2. Programming in SAS or R and database development of genetic markers in support of molecular breeding in agronomic crops.
3. Developing methods to prioritize SNP markers for implementation in breeding.
4. Using statistical methods inclusive of mixed models, multivariate statistics, and non-parametric statistics, to measure and track the success rate of SNP and molecular markers deployed in agronomic breeding materials.
5. Designing and developing fine mapping of new SNP markers to be utilized in marker trait discovery and implementation.
All experience may have been gained concurrently and may have been gained before, during or after receipt of Ph.D. Employer will accept any suitable combination of education or experience.