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 270 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 intern to join our computational breeding team during summer in 2024. The selected candidate will work on a quantitative genetics data analysis. This role is based out of West Lafayette, IN.
AS A QUANTITATIVE GENETICS INTERN, YOU WILL…
- 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.
- 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.
FOR U.S. CANDIDATES: Please note that we use the resume you submit with your application during our background check process. To ensure an efficient and accurate background verification, we kindly ask that you carefully review and accurately represent your work history, education and other relevant information on your resume. Any discrepancies or inaccuracies found during the background check may impact your candidacy for the position.