About the role....

We are looking for an experienced Crop Science Applied Statistician to expand our biological data analyses and computational capabilities within the Late Product Development and Crop Science team.  The Applied Statistician collaborates with science, breeding, and commercial teams to design practical field experiments and analyze data that aligns product offering, placement, and education with business objectives while accounting for the interaction among genotype, environment, and management.  The role is based in and reports to the Crop Science Director in West Lafayette, IN.  

As a Crop Science Applied Statistician, you will…

  • Aggregate disparate data formats from diverse sources
  • Perform subfield and geographical spatial corrections in conjunction with other data quality assurances
  • Build soil and weather databases for use in multi-year analyses
  • Align statistical hypotheses testing and field-based experimental design
  • Design and prototype models utilizing phenotypic data that leverages diverse techniques such as machine learning, deep learning, data mining, optimization modeling, or statistical modeling
  • Select the most appropriate modeling techniques and data visualization for large datasets
  • Write and review code
  • Collaborate with a team of data scientists and engineers to improve and develop new workflows and analyses

 You Bring…

  • MS or PhD in Statistics, Data Science, Biology, Plant Breeding, Genetics, or other relevant scientific field with field research and phenotypic analyses
  • Advanced working knowledge and understanding of common statistical methods, including experimental design, single and multivariable regression, hypothesis testing, analysis of variance, machine learning, and parameter estimation
  • 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 clearly summarize and communicate results with people of various educational and technical backgrounds
  • A strong sense of purpose and drive to develop unique, high impact solutions.
  • Adaptability and enthusiasm for new challenges, innate curiosity, and a passion for learning.
  • Creative and strategic thinking, willingness to be bold and take risks, and the ability to recognize and learn from failure.
  • A collaborative mindset that is open to giving and receiving ideas, perspectives, and feedback.
  • Ability to work both independently and deliver on responsibilities within a highly collaborative environment.
  • Ability to effectively communicate with a diverse range of individuals and audiences.


Bonus qualifications…

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


About Inari

Inari is the SEEDesign™ company. We embrace the diversity and complexity of nature in every aspect of our business to drive innovation – to push the boundaries of what is possible. Through our unrivaled technology platform, Inari uses predictive design and advanced multiplex gene editing to develop step-change products. We are taking a nature positive approach to unlock the full potential of seed that will transform the food system. The results will lead to more productive acres delivering value creation for farmers and a more sustainable future for our planet.

Our success is dependent on great minds, collaborating to generate bright ideas and deliver exceptional outcomes.

We have over 170 employees, with research sites in Cambridge, MA (USA) and Ghent (Belgium), as well as a product development site in West Lafayette, IN (USA). We’ve deliberately built a team that brings diversity of thought to all aspects of our business, to generate new ideas, approaches, and ways of operating. And we've intentionally combined experience with potential, bringing agriculture industry experts with the desire to innovate together with bright minds from academia, human therapeutics, software, and consulting. If you want to be part of a diverse and inclusive team developing unique solutions to feed the world while protecting our planet’s natural resources, we’d love to hear from you!



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