Quantitative Genetics Scientist Des Moines, Iowa, United States Research & Devel

Hybrid## Quantitative Genetics ScientistDes Moines, Iowa, United StatesJob LocationDes Moines, Iowa, United States**Corteva Agriscience** is a global leader in seed, crop protection, and digital solutions in agriculture. We have an opening in R&D for a research scientist to work alongside world-class researchers from statistics, genetics, computer science, and breeding to deliver superior products to our customers by accelerating genetic gain.This position will reside within the Quantitative Genetics and Breeding Systems team of Breeding Technologies. This team discovers, develops, and deploys state-of-the-art genetic-statistical methods, computational algorithms, and software for the analysis of big data in high-throughput expert systems, experimental design studies, and breeding pipeline simulations. These systems enhance the knowledge and understanding of our germplasm and the genetic architecture of economically important traits to drive informed decisions in Corteva’s Seed Product Development.We are looking for an inquisitive, detail-oriented, eager to learn and contribute quantitative geneticist, genetic statistician, biostatistician, animal breeder, or plant breeder with an interest in plant science and seed product design who wants to join a world-class Quantitative Genetics and Breeding Systems team.**What You'll Do:**1. Develop, code into high-performance software, and deploy state-of-the-art quantitative-genetic models and methods for the analysis of phenotypic and genomic data to improve genetic gain in Corteva’s breeding programs, including to* Recommend statistical analyses and processes for genomic selection using data from many field locations, accounting for spatial field trends, and exploiting genetic correlations between quantitative traits, locations, years, and different experiments.* Develop and implement algorithms and methodology for the seamless incorporation of novel phenotypes from spatial, real-time, and longitudinal measurements, as well as novel genomic data into machine learning-based expert systems.2. Develop, code into high-performance software, and deploy deterministic and stochastic simulations for the analysis of breeding pipelines across crops and regions. This includes:* Connect software to in-house databases.* Develop memory and runtime-efficient software.* Develop prototypic user interfaces to allow our breeding community to access the tools and communicate results. 3. Collaborate with software architects and engineers to implement high-throughput analytic systems into internal analysis systems and pipelines. 4. Collaborate with plant breeders from multiple crops and geographies that span the globe to understand biological questions and develop genetic-statistical solutions to complex questions. 5. Provide consultation and training to Corteva’s worldwide research community regarding the implementation of experimental designs, breeding schemes, models, and methods. 6. Provide expertise to external collaborations. 7. Develop R Shiny applications for customized data analyses, visualizations of data and results. 8. Stay current with the scientific progress in the literature and recognize the potential of novel methods for Corteva’s seed product development. 9. Publishing scientific articles is encouraged.**What Skills You Need:*** Ph.D. in Quantitative Genetics, Animal Breeding, Plant Breeding, Biostatistics, or a related field.* A solid foundation in quantitative-genetic and statistical theory and an interest in applied statistical analyses and breeding systems optimizations.* Strong oral and written communication skills, including the ability to communicate effectively with individuals of diverse language, cultural, and scientific backgrounds.* Solid foundation in quantitative genetics, animal or plant breeding, and a basic understanding of a commercial breeding and/or seed business.* Solid foundation in statistical analysis methods, including mixed linear models, Bayesian models, dimension reduction techniques, and machine learning methods.* Has demonstrated statistical computing skills* Knowledge of R, Python, or related programming tools.* Knowledge of a high-performance programming language such as C, C++, or Fortran, and experience with high-performance computing libraries such as BLAS or Eigen are welcome.* Willingness to learn a high-performance programming language and code in existing in-house software.* Willingness to develop, test, and deploy internal analysis software.* Ability to manage and manipulate large data sets.**Benefits – How We’ll Support You:*** Numerous development opportunities offered to build your skills* Be part of a company with a higher purpose and contribute to making the world a better place* Health benefits for you and your family on your first day of employment* Four weeks of paid time off and two weeks of well-being pay per year, plus paid holidays* Excellent parental leave which includes a minimum of 16 weeks for mother and father* Future planning with our competitive retirement savings plan and tuition reimbursement program* Learn more about our total rewards package here -* Check out life at Corteva!Corteva Agriscience is an equal opportunity employer. We are committed to embracing our differences to enrich lives, advance innovation, and boost company performance. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, military or veteran status, pregnancy related conditions (including pregnancy, childbirth, or related medical conditions), disability or any other protected status in accordance with federal, state, or local laws.Talent Acquisition at Corteva uses technology by Eightfold AI. This technology employs artificial intelligence to assist in predicting the degree of match between you and our job positions. This tool is a matching model based on factors such as the skills specified in the job description for which you have applied. While this technology may be considered an automated employment decision tool under New York City law, we do not make the decision about your application solely based on the model output. All of our hiring processes and decisions, including determining your suitability for a role, are conducted, checked, and decided by individuals. More information about this tool can be found

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