Job Post

Microbiome Data Scientist

500 Rutherford Ave, Suite 201
Boston, MA 02129

Indigo improves grower profitability, environmental sustainability, and consumer health through the use of natural microbiology and digital technologies. Utilizing beneficial plant microbes and agronomic insights, Indigo works with growers to sustainably produce high quality harvests. The company then connects growers and buyers directly to bring these harvests to market. Working across the supply chain, Indigo is forwarding its mission of harnessing nature to help farmers sustainably feed the planet. The company is headquartered in Boston, MA, with additional offices in Memphis, TN, Research Triangle Park, NC, Sydney, Australia, Buenos Aires, Argentina, and So Paulo, Brazil.


  • Take ownership of the Microbiome Analysis pipelines
  • Propose a series of analytical and experimental approaches to understand microbiomes functionally
  • Implement automated analysis of functional microbial communities, integrating existing genomic data assets
  • Serve as a thought and technical leader for microbiome analysis from R&D through the field
  • Bring high quality, state-of-the-art data science and computational biology techniques to laboratory teams working to understand microbial communities


  • Excellent communication skills; highly skilled at teaching and presenting to both nontechnical and laboratory audiences
  • Thirst for knowledge; always looking to implement new techniques from the literature and apply them to understand Indigos unique data asset
  • Systematic thinker; able to integrate diverse sources of data and observations into a coherent, testable framework
  • Expert at translating theoretical concepts to quantitative analyses and suggesting follow-up experiments to perform
  • Able to write clear, repeatable software for analysis of large datasets
  • Thrives in a fast-paced, growth environment
  • Understands and embodies Indigos mission and core values


  • PhD in computational biology or related field
  • 2+ years industry experience; 5+ years experience (including graduate education) working with microbiome data
  • Strong knowledge of statistics, computational approaches to biology, and machine learning and how they can be successfully applied to spare, undetermined microbiome datasets
  • Experience in modelling and interrogating microbial metabolism and pairing this with community sequencing data
  • Strong experience programming in Python and R; comfortable with UNIX and AWS
  • Experience with wet lab biology and/or microbiology strongly preferred; understands the messiness and biases these methods bring to data analysis
Category: Data Science / Machine Learning

See What It's Like To Work Here

Harnessing nature to help farmers sustainably feed the planet.

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