About The Role...

We are looking for an experienced Crop Data Scientist to expand our biological data analyses and computational capabilities within the Late Product Development and Crop Science team.  Crop Data Scientists collaborate with breeding and sales to analyze data that aligns product offering, placement, and education with commercial objectives.  The role reports to the Crop Science Director in West Lafayette, IN.  

As a Crop Data Scientist, you will…

  • Aggregate disparate data formats from diverse sources
  • Statistically analyze data for quality control and validate hypotheses of relationships between plant genetics, field results, and environment​ consistent with company data science norms.
  • Interpret field data / trial results and generate reports or data visualizations
  • Analyze partner data to refine experiment design (e.g. locations, reps, etc)
  • Contribute to statistically-robust field-based product phenotypic assays and strategies
  • Leverage your expertise to advise on field data for Inari scientists and partners

You bring…

  • MS in Statistics, Data Science, Biology, Plant Breeding, Genetics, or other relevant scientific field 
  • Experience with data science tools {Python, R}, programming practices, computational infrastructure, data-driven visualizations with R-shiny, D3.js and/or Tableau
  • Demonstrated understanding of crop physiology, agronomy, plant breeding
  • Experience working with field trial data sets, spatial data, and time series from internal and external data sources 
  • Ability to rapidly summarize data, communicate results
  • Ability to teach concepts or explain your work to a wide variety of audiences 
  • Ability to work in a fast-paced, cross-functional environment and handle ambiguity gracefully
  • Curiosity, a desire to continuously learn and have a meaningful impact
  • Creative and strategic thinking, willingness to be bold and take risks
  • A collaborative approach, open to giving and receiving ideas, perspectives, and feedback

Bonus qualifications…

  • Experience working with any of the following: AWS, Docker, Git, Benchling, web development, Agile methodologies, APIs
  • Experience building data processing workflows in R or Python
  • Previous experience working with plant genomic data is a plus, but not required

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