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Bioinformatics Research Associate
Ref No.: 18-06853
Location: Indianapolis, Indiana
Shift/Hours: Part-time, 16-20 hours per week
Job Description: Bioinformatics Research Associate
Corteva Agriscience (Agriculture division of DowDuPont) is focused on solving the challenging problems needed to improve food security and enriching lives. We are looking for a highly skilled Bioinformatics Research Associate to fill a contract position with the Data Science and Informatics (DSI) team and deliver computational biology solutions to solve exciting challenges in the areas of genomics, bioinformatics, and next-generation sequence analysis. The successful candidate will work closely with researchers and business leaders in the Regulatory and Stewardship organization to conduct relevant analytics and develop sound scientific and functional processes as required. This position will be located in Indianapolis, IN or Johnston, IA, USA. Qualified candidates will be required to have a solid foundation in bioinformatics and experience with analysis of next-generation sequencing datasets.

The successful candidate will conduct computational biology analyses around genome associated data, including, but not limited to, genomic assembly, genomic variants, DNA structural assessment, and related management of genomic data.
Develop, maintain and run cutting-edge bioinformatics pipelines for the analysis and interpretation of genomics datasets.
Work collaboratively across Research & Development to execute bioinformatic processes to advance regulatory science. Communication and teamwork are essential elements of this role.
Interact with teams of researchers to digest and summarize large amounts of data, interpret scientific results, and communicate scientific findings in a clear and concise manner.
Make scientific evaluations, recommendations, and routine communications to scientists regarding the performance and utility of advanced computational techniques in a complex legal environment.
Identify, design, develop, help implement, and manage data analysis tools to meet project goals and timelines, communicate critical issues and discoveries appropriately.
M.S. in computational biology, bioinformatics, computer science, statistics or a related field with at least four years of experience;
Experience in next-generation sequence analysis and genomics data interpretation
Competency in programming Python and Linux high-performance computing is required; proficiency in statistical languages such as R is a plus.
Demonstrated the ability to work in dynamic teams.
Demonstrated ability to quantitatively evaluate and analyze complex scientific problems and work efficiently with large volumes of data.
Demonstrated ability to explain and present analytical findings to audiences verbally and in writing