Further information

Computational Biologist - 00GZS

Description:

Monsanto seeks a creative, mathematically-minded Computational Biologist to help us transform big data into higher yielding crops. In this role you role will support research across Monsanto Technology by integrating, modeling, and interpreting unprecedented genomic, transcriptomic, metabolic, phenotypic, population genetic, and geospatial data, all with the goal of driving interpretation into practical use. We aim to help feed the mid-21st century world using less water, less fertilizer, and less pesticide.

In this role you will design biological and computational experiments, generate biologically meaningful and testable hypotheses, and deliver robust analyses to projects across Monsanto Technology. You will also develop, optimize, and share computational practice with the larger Monsanto scientific community. Because we are a problem-driven team with high impact, we prize creativity, unceasing skills acquisition, and world-class collaboration skills.

Qualifications:

• A computationally-oriented Ph.D. in Genetics, Microbiology, Chemical Engineering, or Biophysics, with a strong publication record.

• Successful development of novel, statistically-motivated algorithms to extract meaning from diverse biological data.

• Successful experience working closely with experimental collaborators to test computationally derived hypotheses.

• Ability to work on cross-functional teams to accomplish milestones.

• Excellent verbal and written communication skills.

Required Skills/Experience:

• Past laboratory experience, along with an appreciation for when to use a computational approach and when to do a physical experiment. A background in metabolic engineering is a plus

• Facility with the programmatic use of at least one broadly accepted statistical package (e.g. R, SAS, S , Minitab).

• Scientific programming skills in at least one high performance language (e.g. C, C , Java, Scala) and one scripting language (e.g. Perl, Python).

• Expert operation in high performance computing environments, including parallel/concurrent programming ability.

• Experience guiding experimentalists on the best use of computational approaches for their projects and guiding informaticists on how to best meet the requirements of experimentalists.

• Demonstrated ability to learn methods and technologies as necessary to meet objectives.

• A highly collaborative approach, with the drive and ability to actively create new connections across the Monsanto Technology organization.

• 2 years industry or postdoc experience in computational biology. 

Job   Research & Development Primary Location North America-USA-Missouri-St. Louis Organization   Enabling Technologies_51013268 Schedule   Full-time