Quantitative Genetics Intern
Confirmed live in the last 24 hours
Inari Agriculture

201-500 employees

Designs sustainable seeds using AI and gene editing
Company Overview
Inari, the SEEDesign™ company, stands out for its unique approach to sustainable agriculture, leveraging AI-powered predictive design and multiplex gene editing to optimize seed potential and contribute to a more resource-efficient global food system. The company's technology platform addresses the biological complexity of plants, using extensive data analysis to identify and implement beneficial genetic edits within a crop's DNA structure. This technical prowess, combined with a commitment to sustainability, positions Inari as a leader in its industry, offering solutions that not only increase food production but also reduce environmental impact.
Food & Agriculture

Company Stage

Series E

Total Funding





Cambridge, Massachusetts

Growth & Insights

6 month growth


1 year growth


2 year growth

West Lafayette, IN, USA
Experience Level
Desired Skills
Data & Analytics
Biology & Biotech
  • Graduate or PhD student in Quantitative Genetics, Bioinformatics, Computational Biology or related field (Required)
  • A foundational understanding of genomics, particularly SNP data and haplotype structures.
  • Competence in bioinformatics software and scripting languages such as R and Python.
  • An analytical mindset with the ability to troubleshoot and solve complex problems.
  • Experience with Linux/Unix and command line programming
  • Ability to start in May and work through early August, 2024
  • 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.
  • Preprocess genetic data sets for imputation and haplotype analysis.
  • Participate in the integration of haplotype data with other genetic and phenotypic datasets to support comprehensive genomic and quantitative genetics studies.
  • Utilize and potentially develop custom bioinformatics tools and scripts to analyze the complex genomics and breeding data in the real-world.
  • Interpret and summarize findings in the context of research goals.