DuPont has a rich history of scientific discovery that has enabled countless innovations and today, we're looking for more people, in more places, to collaborate with us to make life the best that it can be.
DuPont Pioneer is seeking a Post Doctoral Fellow to join the Trait Informatics group to conduct research into the area of computational biology, genomics and transcriptomics. The Trait Informatics groups is responsible for bioinformatics systems and analyses across the Agricultural Biotechnology Research and Development organization. The advertised post-doctoral position will work together with Trait Informatics scientists and developers, as well as scientists from across research departments. The position will be based at the DuPont Pioneer world-wide headquarters in Johnston, Iowa (USA). Duration of employment will be 12 months with a possibility of renewal for an additional 12 months depending on evaluated performance and business need.
Duties/Responsibilities: Utilize existing data to develop and implement computational strategies to develop transcriptional networks. Collaborate across research departments to conduct experiments to plan and execute experiments to test hypotheses around transcriptional regulatory control and functional output. Prepare internal scientific reports as well as scientific manuscripts for external publication to document the findings of the methodology development and evaluation steps.
Problem Solving: Assist in the development and evaluation of novel computational and/or statistical genetics techniques targeted towards improved regulatory network determination.
Interact with scientific teams of researchers to manipulate and summarize large amounts of data, interpret scientific results and communicate scientific findings in a clear and concise manner.
Decision Making: Make scientific evaluations, recommendations and routine communications to scientists regarding the performance and utility of advanced computational and/or statistical genetics techniques that integrate biological, physiological, environment, phenotypic and genomic/genetic data.
Identify, design, develop and help implement data analysis tools to meet project goals and timelines, communicate key issues and discoveries appropriately.
Qualifications: • PhD in Computational biology, Molecular biology, Statistics or a related field. • Demonstrated ability to quantitatively evaluate and analyze complex scientific problems, interpret scientific results, and work easily with large volumes of data. • Good understanding of RNA expression analyses, as evidenced by strong publication record. • Demonstrated competency in statistical programming languages such as R and scripting languages such as Perl/Python is Required; Proficiency in scientific programming languages such as C is a plus. • Demonstrated ability to work in dynamic scientific teams, and demonstrated ability to contribute to complex research projects performed under tight deadlines. • Strong communication skills; ability to speak, read, and write in English.