Data Analytics Scientist (Bioinformatics) (010916W-01)

Organization
DuPont Industrial Biosciences
Job Location
Palo Alto, CA
Job Description

DuPont Industrial Biosciences is seeking a Bioinformatics Scientist with a focus on Data Analytics. 

 

Location can be:  Wilmington, DE or Palo Alto, CA

 

Industrial Biosciences is an industry leader in providing biobased solutions to meet the needs of a growing population while protecting our environment. We create enzymes and other biobased inventions used by manufacturers to increase the productivity and environmental benefits of nearly 400 consumer and commercial products, such as foods, beverages, animal nutrition, textiles, household cleaning and fuel for vehicles.   We have major US research locations in Wilmington, Delaware and Palo Alto, California, and the location of this position is flexible with respect to existing research sites.

 

DuPont Industrial Biosciences is seeking a Bioinformatics Scientist with demonstrated expertise in Data Analytics. Industrial Biosciences is an industry leader in providing biobased solutions to meet the needs of a growing population while protecting our environment. We create enzymes and other biobased inventions used by manufacturers to increase the productivity and environmental benefits of nearly 400 consumer and commercial products, such as foods, beverages, animal nutrition, textiles, household cleaning and fuel for vehicles.   We have major US research locations in Wilmington, Delaware and Palo Alto, California, and the location of this position is flexible with respect to existing research sites.

 

The successful candidate will be part of multidisciplinary teams within a larger community of computational biologists, molecular biologists, microbiologists, biochemists and biochemical engineers. The successful applicant will bring Machine Learning and advanced Data Analytics methods to bear on large and complex datasets that are generated through collaborative research projects.  These projects may include protein engineering of enzymes, metabolic engineering of microbes and discovery of novel microbial consortia to benefit animal and human health.  Candidates should be self-motivated, thrive in a research team environment, and be eager to take on new challenges presented by diverse projects.

Requirements

This position is open to candidates with a Ph.D. and a minimum of two years of postdoctoral training in Statistics, Applied Mathematics, Computational Biology, Bioinformatics, Computer Science or related field.  Experience with Biological data and systems, particularly bacteria, yeast or fungi is welcome. Preference will be given to candidates with a broad knowledge base who have demonstrated productivity in areas such as:

  • Statistical Data Mining of large Biological datasets
  • Mathematical/Statistical modeling of metabolic processes
  • Use of statistical methods to integrate diverse -omics data and discover novel associations

Qualifications

  • Ph.D. and a minimum of two years of postdoctoral training in Statistics, Bioinformatics or related fields.
  • Experience in cutting-edge Data Analytics methods and/or method development.
  • Strong linux skills and programming ability in at least one of the following: R, Python, C/C , Java, or Perl.
  • Productivity demonstrated through a track record of publications and /or patents.
  • Effective written and oral communication of scientific results.

A part of the proposed tax bill in the US could make tuition waivers taxable, Vox reports.

The New York Times reports that only a subset of STEM worker are in demand.

US News & World Report says students pursuing STEM degrees should consider what they are getting into.

New study finds bias against female lecturers among student course evaluations, the Economist reports.