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 300 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!

Overview: Inari's business model requires high quality data collection of highly variable data from a wide assortment of sources. Through data and metadata analysis, the Enterprise Data Quality Intern will help Inari identify and capture roughly prioritized opportunities to improve the quality of the data in our data systems. The Enterprise Data Quality Intern will also assist the Enterprise Data Manager in working with other teams to determine the scope of data quality improvements desired and assist them as needed to achieve their data quality goals. At the end of the internship, the Enterprise Data Quality Intern will prepare and present their findings and results at Inari's Data Quality Initiative Tech Talks.

What You'll Do: - Learn about Inari's business goals and data landscape

- Work with the Enterprise Data Manager to identify and prioritize data analysis targets
- Build and publish reports as Jupyter notebooks using Python or R
- Present your findings and their impact to the business in a Tech Talk at the end of summer

You Bring: - A working background of genomics, phenomics, and/or agronomy
- Experience with Python and/or R for data analysis
- Ability to work independently

Desired experience of:
- Experience with lab assay data
- Experience with image processing and/or geospatial data analysis
- Experience with data and computing in the cloud, especially AWS
- Experience publishing Jupyter notebooks with data analysis results

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.