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Crop Data Scientist

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Job Title: Crop Data Scientist
Location: West Lafayette, IN, Mid-West United States, USA
Company: Inari Agriculture
Industry Sector: Agribusiness
Industry Type: Plant & Soil Sciences, Seed and Biotechnology
Career Type: Scientist
Job Type: Full Time
Minimum Years Experience Required: N/A
Salary: Competitive
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We are looking for a Field Data Scientist to join our growing Computational Biology and Data Science team and help us expand our biological data generation, analytical, and computational capabilities. The role will be based at Inari’s campus in West Lafayette, IN.  



  • 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? 
  • Interpret field data / trial results and generate reports
  • 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


  • MS or PhD in Statistics, Data Science, Biology, Plant Breeding, Genetics, or other relevant scientific field 
  • Experience with data science tools {Python, R}, software development / programming practices and computational infrastructure
  • Demonstrated understanding of crop physiology, agronomy, plant breeding
  • Experience working with field trial data sets and other forms of spatial data 
  • 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


  • Experience working with any of the following: AWS, Docker, Git, Benchling, web development, Agile methodologies, microservices, APIs
  • Previous experience working with plant genomic data is a plus, but not required.
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Job Post Date: 07/11/19
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