Computational Biologist, Microbiologist

Indigo is a company dedicated to harnessing nature to help farmers sustainably feed the planet. With a vision of creating a world where farming is an economically desirable and accessible profession, Indigo works alongside its growers to apply natural approaches, conserve resources for future generations, and grow healthy food for all. Utilizing beneficial plant microbes to improve crop health and productivity, Indigo’s portfolio is focused on cotton, wheat, barley, corn, soybeans, and rice. The company, founded by Flagship Pioneering, is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and São Paulo, Brazil.  www.indigoag.com

The Computational Biologist/Microbiologist will be a leader in our strain nomination pipeline, integrating data from multiple sources to prioritize our strains and validate our hypotheses-based nominations process. The role will require strong communication skills to bridge Microbial Sourcing and Evaluation with Data Science, among others.

 

Responsibilities:

  • Generate data-driven hypotheses to predict microbial function and metabolism; prioritize microbial strains
  • Integrate multiple data streams to characterize strain performance and validate our strain prioritization pipeline
  • Work closely with Data Sciences Team to ensure proper strain characterization; review current pipeline and suggest improvements
  • Propose biological and computational protocols to analyze microbial community structure and function
  • Use comparative genomics to predict strain diversity and metabolic potential

 

Competencies:

  • Excellent communication and team work skills; able to communicate and work cross-functionally between teams involved with microbial sourcing and screening, field trials science, and data science
  • Experience with bioinformatics tools, including comparative genomics and metabolic pathway prediction
  • Excellent data management and organizational skills
  • Creative and adaptable
  • Familiar with microbial physiology and microbe-plant interactions
  • Ability to utilize computational tools to solve complex biological problems

 

Qualifications:

  • PhD in Microbiology or related field; postdoctoral experience preferred, but not required
  • Knowledge of microbial physiology; plant-microbe interactions
  • Experience in analyzing large biological datasets
  • Strong data science and bioinformatics background, with experience in Python and pipeline development
  • Comfortable programming in R or Python; working in UNIX

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