Mission

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

Outcomes

• Become familiar with focused sourcing collections (plant microbiomes)
  • Review data being collected by partners and propose ideas on how best to use that data
  • Review current community data and propose new datasets
• Develop testable hypotheses and experimental plans
  • Propose testable hypotheses based on focused sourcing microbiome data and analyses
  • Create a vision for field-testing of microbial impacts on crops
• Understand and develop individual goals in the context of the team’s annual goals
• Evaluate processes used for data analysis
  • Propose improvements to existing processes and new processes as needed
• Develop working relationships with the following teams: Data Science, Microbial Sourcing and Evaluation, Innovation, Research & Scientific Insights, Plant Physiological Analysis and Field Sciences
• Help coordinate with Field Sciences to plan 2019 field experiments
• Understands and embodies our purpose and core values

Competencies

• Ability to implement action plans to solve complex scientific problems
• Focus on leveraging scientific knowledge to develop next generation products: better, faster and cheaper
• Excellent data analysis and visualization skills (using R and Spotfire)
• Strong attention to detail and excellent communication skills
• Advocate for automation
• Capable of prioritizing demands and pivoting when needed
• Positive attitude and team player
• Approachable to direct reports and actively listens and responds to feedback
• Desire to work cross-functionally and collaborate
• Agility

 Qualifications

• Ph.D. in microbiology or related field, (with emphasis on plant/microbiome or host/microbiome interactions) with 2-3 years of professional experience
• Deep knowledge of microbial function, molecular ecology and microbe-microbe interactions in the context of microbiomes and symbiosis
• Extensive experience in microbiome/host interactions
• Expertise in current bioinformatics tools for analyzing large ecological datasets
• Comparative genomics and population genetics experience a plus
• Experience mentoring junior lab staff
• Strong publication record
• Diverse range of experience including computational biology, wet lab experience, and field experience
• Knowledge of and experience with statistical analysis software and programming languages (i.e. Python, R)

 Location

• Boston, MA