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 200 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!

About the role....

We are looking for an experienced Computational Breeding Scientist to join our growing Product Development team. The role reports to the Director of Predictive Modeling, and is based in West Lafayette, Indiana.


As a Computational Breeding Scientist , you will…

  • Design, prototype and implement genomic prediction models using latest advances in data science with combination of state-of-the-art analytics, diverse types of data integration, data visualization and biological domain knowledge
  • Rapidly understand Inari’s product, research and development objectives and drive product development process through computational breeding decisions with internal partners
  • Collaborate with a diverse team including bioinformaticians, quantitative geneticists, plant breeders, and software engineers to design, build and validate statistical and machine learning models and deploy / scale up these models
  • Analyze and maintain the quality of data pipelines and work with the data quality team to resolve issues. Ensure that high standards are maintained during datasets expansion
  • Use model outputs and strong business acumen to deliver insights, recommendations and solutions
  • Write and review robust, well-documented and well-tested research code and code libraries that adhere to community standards and best practices.
  • Design data generation, collection, and integration efforts to enable future research projects and experiments
  • Represent Inari at conferences, industry events, and within the broader data science community 

 You Bring..

  • MSc with at least 3 years of proven experience or PhD in Statistical Genetics, Quantitative Genetics, Population Genetics, Biostatistics, Computational Biology, Operational Research, or other related quantitative disciplines
  • Proficiency in predictive modeling and broad understanding of emerging machine learning and deep learning approaches, limitations, and pitfalls
  • Deep experience with data science tools and languages {Python, R} and their associated machine learning packages, software development / programming practices
  • Ability to visualize and present results, teach new concepts and explain your work to a wide variety of technical and non-technical audiences
  • Ability to work with a sense of urgency in a fast-paced, cross-functional environment and handle ambiguity gracefully
  • Strong communication skills, both written and oral
  • Curiosity; desire to continuously learn and have a meaningful impact
  • Demonstrated innovative, critical thinking, willingness to be bold and take risks
  • A collaborative approach, open to giving and receiving ideas, perspectives, and feedback
  • An interest in science and/or agriculture
  • 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.

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