What if nature could be harnessed to help farmers sustainably feed the planet? Since 2014, Indigo has questioned agriculture's full value chain to improve grower profitability, environmental sustainability, and consumer health. The company’s scientific discoveries and digital innovations have amplified new value from soil to sale, benefiting more than 10,000 growers to date. Indigo is also the company behind The Terraton Initiative, a global effort to drawdown one trillion tons of atmospheric carbon dioxide by unlocking the potential of agricultural soils. In 2019, Indigo was ranked #1 on CNBC’s Disruptor 50 list. Headquartered in Boston, MA, Indigo has additional offices in Memphis, TN; Research Triangle Park, NC; Sydney, Australia; Buenos Aires, Argentina; Basel, Switzerland; and São Paulo, Brazil. 

The Image Analysis Data Scientist will help design and implement a comprehensive image analysis strategy and tools throughout Indigo from laboratory assays to field imagery.  They will accelerate Indigo’s R+D pipeline by automating experimental analysis with image processing and suggest new imaging strategies and derived metrics to improve our understanding of our microbes and their interactions with plants.  Additionally, they will enlarge our understanding of field data with real time image analysis from sources ranging from UAVs to satellites.  Developing a unified strategy for image analysis uniting R+D and field/commercial efforts will be fundamental to success in this role.

Responsibilities:

  • Understand current internal imaging capabilities and identify existing gaps
    • Prioritize gaps in current imaging capabilities and create plan to fill gaps
  • Create strategic standardization plan for all imaging analyses
  • Design and communicate long-term pipeline for image analysis at Indigo, including imaging capabilities and cross functional uses

Competencies:

  • Very collaborative; team player; a leader through influence
  • Excellent written and oral communication skills
  • Fast learner; loves to learn about learning new state of the art technologies and techniques
  • Passionate and excited about image analysis and computer vision
  • Able to design user-friendly image analysis tools and apply ML techniques to problems from laboratory scale to field scale
  • Able to handle geospatial data formats and understand their limitations
  • Able to prioritize conflicting demands
  • Able to create long-term project vision for assimilation across departments and a unified image analysis strategy
  • Comfortable with cloud-based systems, like AWS
  • Understand and embody Indigo’s core values and mission

Qualifications:

  • 5+ years experience in image analysis / computer vision (inclusive of any graduate education)
  • Skilled at coding in Python
  • Expertise in modern image analysis libraries (openCV, scikit-image and techniques)
  • Familiar with neural networks/deep learning and their uses in image analysis
  • Knowledgeable about different types of imaging devices and acquisition hardware, such as microscopes, cameras and other advanced instruments
  • Proven track record and understanding of already developed, “straight out of the box” tools
  • Well-versed in current state-of-the-art imaging and computer vision technologies and connected to key technology developers
  • Comfortable working with other teams (Automation, Innovation, etc.) to choose and deploy new imaging technology
  • Prior experience with satellite imagery and imagery data at various scales: satellite, MAV, UAV, vehicle-based, greenhouse-based, etc. preferred
  • Experience in image analysis applications for biological systems preferred

Indigo is committed to living our values, specifically “creating a work environment where everyone feels respected, connected, and has opportunities to learn and grow.” As part of living our values, we strive to create a diverse and inclusive work environment where everyone feels they can be themselves and has an equal opportunity of succeeding.

 

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