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, grow healthy food for all, and conserve resources for future generations. Utilizing beneficial plant microbes to improve crop health and productivity, Indigo’s portfolio is focused on cotton, wheat, rice, corn, and soybeans. The company is headquartered in Boston, MA, with commercial and customer service based in Memphis, TN.

The primary objective of this position will be to lead Product Screening efforts with the goals of optimizing consistency and predictability of product performance; enriching flow of product candidates with desired characteristics and creating a data asset for use across the R&D pipeline. Generated data will continue to strengthen Indigo’s pipeline to produce successful commercial candidates.



  • Review current Stage 3 pipeline and provide technical assessment and path forward
  • Learn the entire pipeline and how this role can complement Discovery, Product Development and Commercial
  • In addition to R&D, work with external sources (i.e. CROs, collaborators, consultants) to leverage expertise and resources
  • Take ownership of proposed experiments for next season
  • Design/optimize and implement screening assays that will allow Indigo to effectively evaluate products in our pipeline
  • Create a Stage 3 Trialing Data Asset for use across the R&D pipeline



  • Ph.D. and/or 2-5 years of academic or industry experience (industry experience desirable)
  • Expertise in any of the following disciplines: plant science, plant genetics, plant biology/physiology, plant-microbe interactions, agronomy and ability to effectively engage across them
  • Experience with high throughput testing desirable
  • Experience with creation of Greenhouse screening assays desirable
  • Experience with agriculture chemistries desirable
  • Demonstrated excellent experimental design, analysis and interpretation
  • Statistical analysis and use of R desirable
  • Ability to reach out across the organization and work with teams, i.e. Data Sciences, Discovery, Commercial, Product Management, Greenhouse, etc.
  • Great organizational skills
  • Organized, methodical, and attention to detail required
  • Excellent verbal and written communication skills
  • Ability to manage staff and projects




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