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Bioinformatics Scientist- Fungal

Date: Jul 20, 2021

Location: Palo Alto, California, US, 94304

Company: IFF Family of Companies

Job Description

IFF Health & Biosciences is seeking a Bioinformatics Scientist with experience in analyzing microbial NGS datasets to join our growing R&D team. We are 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 large community of bioinformaticians, molecular biologists, microbiologists, biochemists and biochemical engineers. This scientist will be embedded in project teams working on fungal expression hosts and will be responsible for design and analysis of NGS datasets aimed at host improvement. These projects will likely include NGS datasets like de novo genome assembly, variant detection, transcriptomics, proteomics, and data mining of existing datasets. Candidates should be self-motivated, thriving in a research team environment, and committed to using biotechnology for commercial and societal impact.

This position is open to candidates with a Ph.D. in Bioinformatics (or a related field). Experience with Linux environments, common bioinformatics tools, and building data processing pipelines is required. A strong plus would be experience working in a cloud computing environment, web-based visualization tools, SQL databases, and relevant work experience in fungal systems.

Job Requirements

Qualifications:

  • Ph.D. in Bioinformatics or related field
  • Strong Linux skills and programming ability in either Python, R, or C/C++ (Python preferred)
  • Experience in NGS/-OMICS data analysis (genome assembly, variant detection, transcriptomics)
  • Track record of working with fungi.
  • Effective written and oral communication skills and demonstrated ability to work in a team environment.
  • Productivity demonstrated through a track record of publications and/or patents.

 

 


Nearest Major Market: San Jose
Nearest Secondary Market: Palo Alto