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Indigo // helping farmers sustainably feed the planet
Boston, MA    Posted: Wednesday, October 23, 2019
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Bioinformatics Co-op

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 & accessible profession, Indigo works alongside its growers to apply natural approaches, conserve resources for future generations, & grow healthy food for all. Utilizing beneficial plant microbes to improve crop health & productivity, Indigos portfolio is focused on cotton, wheat, barley, corn, soybeans, & 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, & So Paulo, Brazil.

The R&D Data Science team at Indigo uses techniques of data science & modern machine learning to understand microbes & predict where, why & how they will be effective in helping plants grow. We are looking for a motivated student with experience in bioinformatics & analyzing large-scale biological datasets for a co-op with our team. The intern will apply comparative genomics techniques as well as a variety of supervised & unsupervised machine learning approaches to better understand & gain value from genomic & laboratory assay data.


  • Create summary visualizations of genomic data from thousands of sequenced microbes
  • Evaluate quality of gene annotations derived from an automated pipeline
  • Undertake targeted investigations of genomic differences between closely-related microbes
  • Apply methods from machine learning & comparative genomics to test associations between genomic features & laboratory assay data
  • Produce well-documented, reproducible code for analyzing datasets
  • Understand & embody our purpose & core values
    • Excited by Indigos mission; believes that Indigo can fundamentally change the agriculture industry; can clearly articulate passion for our mission & values
    • Optimistic & innovative; solution-oriented; shows no signs of cynicism
    • Will be widely viewed as someone who personifies our core values, is committed to them, & leans on them when making decisions. Specifically:
      • Demonstrates a track record of high integrity - doing the right thing, owning mistakes, conducting oneself honestly
      • Values, communicates & interacts with others with high levels of transparency & respect
      • Collaborates well across functions; creates an inspiring & collegial work environment


  • Current undergraduate or Master's student in computational biology / bioinformatics, physics, mathematics, computer science, engineering, or similar quantitative discipline, or biology-related field with quantitative experience
  • Experience with quantitative analysis of biological data
  • Experience coding in Python, R or other programming language, comfort working with UNIX command line - Ability to work independently & as part of a team
  • Ability to communicate results effectively to diverse audiences
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