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 São Paulo, Brazil. http://www.indigoag.com/  

Responsibilities:

• Obtain an understanding of Indigo data infrastructure and data management practices
• Obtain an understanding of available data types collected by Indigo and how data are used for decision making
• Review plant microbe interaction literature as relevant to R&D pipeline functions
• Develop proposal for an experiment to identify genetic markers associated with germplasm by microbe interaction
• Develop data analysis plan to describe patterns of GxE or genetic plasticity evident in data collected in the microbial product development pipeline
• Develop proposal for novel analyses that uses new data types (e.g. satellite data, imaging data) to identify patterns of genetic plasticity or GxE in Indigo field trials.
• Build a framework that combines genetic, environmental, and satellite data to make products that improve grower profitability.

Competencies:

• Team player; works well with others
• Agility; able to adapt to changing needs
• Works well under pressure and with multiple deadlines
• Able to handle multiple projects at the same time
• Excellent communication skills
• Analytical; strong command of relevant tools
• Excels in cross-functional environment

Qualifications:

• PhD in Quantitative Genetics, Population Genetics, Applied Mathematics, Statistics
• Strong understanding of plant physiology, plant breeding, and population genetics
• Understanding of plant-microbe interaction at biochemical, molecular and genetics levels
• 2+ years industry experience
• Proficient in use of R, Python, etc. to analyze large data sets
• Experience drawing inference from large genetic datasets
• Experience designing field-based experiments (out of greenhouse) and evaluating field data
• Experience with variant calling pipelines and marker design
• Strong publication record (particularly relating to population or quantitative genetics)
• Able to be based in Boston