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!
About this role:
This is an exciting career opportunity for a versatile computational research associate to join diverse research and product development programs in the genome editing, agriculture genomics, and crop breeding space at Inari. Successful candidates will collaborate with scientists and engineers from multidisciplinary teams and help lead the development and application of a range of bioinformatic methods/tools for interrogating various data sets. The role will be based at Inari’s office in Ghent, Belgium.
As a Computational Biology Research Associate you will…
· Collaborate with analysts and scientists to deliver high-quality, high-throughput data analyses to advance Inari’s product concepts and technologies.
· Build, maintain, and develop robust bioinformatics pipelines to support scientific initiatives, including the analysis of diverse omics data sets such as Amp-Seq, transcriptomics, proteomics, epigenomics, and structural variants.
· Analyze, track, and report on pipeline capacity, making improvement recommendations.
· Train staff on bioinformatics tools and pipelines as needed.
· Offer technical expertise to support genomic and genetic data acquisition
· Organize and communicate data to colleagues, management, and external collaborators.
You bring…
· BS or MS in Computer Science, Bioinformatics, Mathematics, Statistics, Biology, Plant Breeding, Genetics, or other relevant scientific field · At least 3 years of experience in industry
· Solid expertise with multi-omic data analysis such as WGS, transcriptomics, ATAC-Seq
· · Ability to thrive in a fast-paced, collaborative team environment across multiple and ability to meet defined timelines with high quality results
· Willingness to be bold and take risks in developing creative solutions
Bonus Qualifications… · Familiar with Nextflow, AWS, Docker, Git, Jupyter Notebooks
· Previous experience working with plant genomic data is a plus, but not required.
· Understanding of genome editing technology landscape
· Knowledge of plant genetics
Our Offer:
We offer you a challenging job in an exciting environment. You will be part of a growing and innovative company, driven by a strong purpose of transforming the plant breeding industry. You will be part of a multidisciplinary team and have the possibility to grow in your role through continuous learning. You will be challenged to take initiative, contributing to the success of the company. We offer you a competitive compensation package commensurate with your skill and experience.
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.
