Research Associate-MB
College Station, Texas, United States
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Follow this link to reach our Job Search page to search for available jobs in a more accessible format.Advanta is a global seed business adapting to rapidly increasing food insecurity and climate change by providing farmers with innovation and new technologies. As part of UPL Group, Advanta aims to deliver high quality seeds with excellent agronomic practices and crop protection solutions. Advanta operates in over 80 countries under global brands of Advanta, Alta and Pacific Seeds. Advanta holds a leadership position in tropical and sub-tropical geographies in corn, grain and forage sorghum, sunflower, canola, rice, and a variety of vegetables. With over 60 years' experience in plant genetics, Advanta provides seeds technology that ensures crop performance and farmers prosperity.
Responsibilities:
• Coordinate and monitor molecular breeding projects in collaboration with laboratory and crop breeding teams across geographies, including:
* Genetic Purity analysis with molecular markers
* Marker-Assisted Selection
* QTL mapping analysis
• Analyze and organize genotypic data produced by the molecular laboratory.
• Collaborate with lead molecular breeding scientists, lab managers, and research associates to review results and resolve issues promptly.
• Generate reports from genotypic data and ensure the timely delivery of molecular breeding results to breeding teams worldwide.
• Curate and maintain genotypic data up to date in appropriate databases for use in molecular breeding projects.
• Maintain strict confidentiality regarding company procedures and datasets.
Required and Desired Skills:
• Educational Background: M.S. degree in plant breeding, genetics, plant science, crop science, biotechnology, or related fields.
• Technical Expertise: Hands-on experience in molecular breeding within plant breeding pipelines.
• Data Interpretation: Strong knowledge of molecular markers and proven experience in analyzing and interpreting genetic data.
• Programming Skills: Proficient in programming languages such as R and/or Python.
• Organizational Abilities: Excellent organizational skills are essential. The ideal candidate should demonstrate the ability to track, prioritize, and manage multiple tasks to meet deadlines.
Work Ethic: Proactive, self-driven, and highly accountable individual.
Team Collaboration: A team player with outstanding interpersonal skills and the ability to communicate effectively with an international team of scientists.
We are one team, for maximum impact. One team with shared goals. We all play for the team and no one plays against the team. We have a laser-like focus on what our customers need and want, on anticipating their future needs and on how we can create innovative solutions and experiences for them.
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