Computational Biologist - Mathematical Applications - Computational Biology-0902350
Dow AgroSciences LLC, based in Indianapolis, Indiana, USA, is a top-tier agricultural company that combines the power of science and technology with the "Human Element" to constantly improve what is essential to human progress. Dow AgroSciences provides innovative technologies for crop protection, pest and vegetation management, seeds, traits, and agricultural biotechnology to serve the world's growing population. Global sales for Dow AgroSciences, a wholly owned subsidiary of The Dow Chemical Company, are $4.5 billion.
Dow AgroSciences (DAS) is seeking a Computational Biologist to assist in the design of experiments, integration and analyses of biological datasets. The successful candidate will join the Computational Biology group of the Mathematics, Information and Data Analyses Solutions function and will have as primary customer the Trait Product Development function of Dow AgroSciences R&D. Key job responsibilities will include development and application of computational biology, mathematical, and statistical algorithms and software to mine biological datasets. Topics of interest include genomics, next generation sequence analyses, inferring accurate biological (metabolomic, proteomic and genetic) networks from large datasets, bioinformatics, proteomics, metabolomics, flux analysis, epigenetics, transcriptomics, information theory, dynamic Bayesian networks, ordinary differential equations, machine learning, support vector machines, instance-based algorithms, decision trees, simulation, and optimization. Design of biological experiments, analysis, interpretation and presentation of results are also expected; as well as to act as a guide for the ongoing research process. The candidate will also be expected to identify and implement new quantitative methods that improve the integrity and efficiency of Dow AgroSciences product development cycle. Demonstrated ability to write scientific papers is also desirable. Strong communication skills are essential along with an ability to collaborate effectively with both laboratory and field scientists.
This position is located in Indianapolis, IN, USA.
Applications will be accepted until a suitable candidate is found. No applications will be accepted after August 30th, 2010.
* Applicants should have a Ph.D. in mathematics, physics, bioengineering, statistics, computer sciences, computational biology, bioinformatics or closely related field.
* A solid foundation in mathematics or statistics is preferred.