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 230 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 a dynamic, self-motivated and proactive Genomic Data Analyst to join our fast-growing team at Inari Ghent, who is committed and passionate about developing 21st century solutions to address global food challenges. As a Genomic Data Analyst you will mostly focus on establishing, maintaining, and executing analysis pipelines in a cloud environment.


As a Genomic Data Analyst you will ….


  • Work with senior bioinformatic and other scientists to deliver high quality, high-throughput data and analyses to advance Inari product concepts and technologies. 
  • Analyze existing and new genomics data (e.g. WGS, WGBS, ATACseq, RNAseq, HiC, etc) generated both externally and internally in addition to genome editing data in crops and single cells.
  • Interact with wet-lab bench scientists and deliver bioinformatics analyses to end users.
  • Build and maintain custom informatics pipelines and reports to support new scientific initiatives. 
  • Help analyze, track, and report on overall pipeline capacity, making recommendations for where and how we can improve. 
  • Proactively fill in the gaps and adapt to change in a fast paced, dynamic research environment - there is always something that needs to be done.
  • Maintain detailed and organized records of your work, project data you generate and other information as needed.
  • Work with colleagues to troubleshoot and develop effective solutions when problems occur.
  • Participate in scientific discussions and present research outcomes to peers and management.


You bring...

  • BS or MS in Computer Science, Bioinformatics, Mathematics, Statistics Biology, Plant Breeding, Genetics, or other relevant scientific field 
  • Experience with data science tools {Python, R}, software development / programming practices and computational infrastructure 
  • Understanding of molecular biology and bioinformatics concepts, processes, and tools
  • Ability to rapidly summarize data, communicate results, and act quickly and efficiently 
  • Ability to teach concepts or explain your work to a wide variety of audiences 
  • Ability to work in a fast-paced, cross-functional environment and handle ambiguity gracefully
  • Strong track record of developing creative solutions to complex problems
  • Strategic thinking, willingness to be bold and take risks
  • An efficient and well-organized approach to deliver high quality results on time
  • A collaborative approach, open to giving and receiving ideas, perspectives and feedback
  • Strong communication skills, both written and oral


Additional Desired Skills/Experience:


  • Experience working with any of the following: AWS, Docker, Git, Benchling, web development, Agile methodologies, microservices, APIs
  • Previous experience working with plant genomic data is a plus, but not required

Employee Experience

  • Employee organized groups, regular social events, and volunteer opportunities provide ways for us to forge personal connections and have fun
  • A strong focus on professional development, with both internal and external learning opportunities
  • Collaboration opportunities with external stakeholders through interactions with our Scientific Advisory Community
  • Comprehensive health, dental, and vision insurance; competitive parental leave

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Our Diversity
Inari is proud of our diverse and talented workforce, and committed to maintaining an environment and business practices that reinforce our commitment to equal opportunity. All employment decisions are based solely upon individual competence, track record of performance, and qualifications related to the scope of responsibility of the job, without regard to sex, race, color, age, national origin, religion, disability, genetic information, marital status, sexual orientation, gender identity/reassignment, citizenship, pregnancy or maternity, veteran status, or any other status protected by applicable national, federal, state or local law.