Job Description:
NOTE: The following opportunity is a paid, 6-month co-op assignment for which students must sit out a full academic semester (June-December 2015). Please apply only if you are able and willing to meet this commitment. Predictive Analytics Co-op Monsanto is passionate about using science and technology to improve agriculture. Monsanto scientists are conducting the Research and Development (R&D) to revolutionize plant breeding and biotechnology. Our Trait & Field Solutions (TFS) organization plays a key role in delivering the world’s largest and most commercially successful crop Biotech trait portfolio through excellence in field operations, advancement of genes and the development of commercial trait conversions. This position offers the opportunity to workwith state-of-the-art experimental techniques and analytical platforms alongside a team of PhD Statisticians who work collaboratively with researchersand other statisticians across our R&D organization. The Predictive Analytics Co-op will work in a team to help support biotechnology research and development by applyingstatistical methods to experimental design, process optimization, and various data mining efforts. The co-op will work closely with interdisciplinary scientists and stakeholders to optimize experimental processes and critical business decisionswhile developing novel statistical methodologies and best practices for complexdata analyses to support genediscovery and trait integration programs in Monsanto Biotech. Required Skills/Experience
Additional Info:
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NOTE: The following opportunity is a paid, 6-month co-op assignment for which students must sit out a full academic semester (June-December 2015). Please apply only if you are able and willing to meet this commitment. Predictive Analytics Co-op Monsanto is passionate about using science and technology to improve agriculture. Monsanto scientists are conducting the Research and Development (R&D) to revolutionize plant breeding and biotechnology. Our Trait & Field Solutions (TFS) organization plays a key role in delivering the world’s largest and most commercially successful crop Biotech trait portfolio through excellence in field operations, advancement of genes and the development of commercial trait conversions. This position offers the opportunity to workwith state-of-the-art experimental techniques and analytical platforms alongside a team of PhD Statisticians who work collaboratively with researchersand other statisticians across our R&D organization. The Predictive Analytics Co-op will work in a team to help support biotechnology research and development by applyingstatistical methods to experimental design, process optimization, and various data mining efforts. The co-op will work closely with interdisciplinary scientists and stakeholders to optimize experimental processes and critical business decisionswhile developing novel statistical methodologies and best practices for complexdata analyses to support genediscovery and trait integration programs in Monsanto Biotech. Required Skills/Experience
- Candidates must be currently enrolled in a Master’s or PhD degree program in Statistics,Biostatistics, Statistical Genetics, Operations Research, Bioinformatics,Computer Science, Mathematics, Engineering or a related discipline with a focus on machine learning or data mining
- Willingness and ability to commit sit out a semester in order to accept a a paid, 40hr/week, 6-month assignment (June-December 2015)
- Plans to graduate no earlier than December 2015.
- CumulativeGPA of at least 3.0/4.0
- Details and results-orientation with the ability to work independently
- Strong communication and problem solving skills
- Personal transportation
- Background knowledge in generalized mixed model, Bayesian statistics, spatio-temporal modeling
- Background and training in crop science or quantitative genetics.
Skills :
Areas :
Additional Info:
[Click Here to Access the Original Job Post]