Research Associate - Next Generation Sequencing

POSTED: September 25, 2019
BUSINESS: Inari Agriculture, Inc.
START DATE: Immediate Availability


This is a great opportunity for a dynamic and self-motivated Research Associate to join our fast-growing and collaborative team. This is a hands-on, lab-based role with a focus on the molecular characterization of plant material.


  • Work with state-of-the-art genomic technologies in support of genome editing product development and be involved in all aspects of the Next-Gen sequencing workflow.
  • Process biological samples for multiple projects utilizing SOPs for various NGS applications.
  • Perform NGS library (e.g. amplicon-seq and enrichment-seq) preparation/QC for Illumina sequencing and sequencing data analysis.
  • Troubleshoot challenges that occur during library preparation, and identify opportunities for protocol improvement.
  • Development and deployment of appropriate automation/ robotics to aid processing and improve throughput.
  • Work collaboratively within the NGS team to complete team projects and achieve goals and deadlines.
  • Explore new technologies and identify innovative solutions to optimize current processes in a fast-paced research environment.
  • Participate in experimental design and troubleshooting efforts, developing high-throughput methodologies, and assays.

 You bring….

  • Bachelor’s or Master’s degree in a relevant scientific discipline (e.g. molecular biology, plant biotechnology) with a minimum of 5 years of hands-on experience in an industry or academic research setting.
  • Knowledge of molecular biology techniques.
  • Expertise in working with high-throughput RNA, DNA, NGS library generation, and various NGS technologies.
  • Proficient in troubleshooting NGS library preps.
  • Excellent time management, detail-oriented and process oriented mindset 
  • Strong communication skills, both written and oral.
  • A collaborative approach, open to giving and receiving ideas, perspectives, and feedback.
  • Ability to work independently and as part of a team. 



  • Knowledge of genome editing technologies.
  • Experience in library prep on an automated liquid handling platform.
  • Ability to program in a scientific programming language (e.g., R, JMP, Python) and perform basic bioinformatics analyses.

 For application instructions, please visit

  • Job Listings

Kurz Purdue Technology Center, 1281 Win Hentschel Blvd., West Lafayette, IN 47906, 765-588-3470

© 2016-17 Purdue Research Foundation | Maintained by Purdue Research Foundation

Trouble with this page? Please contact Purdue Research Foundation by Phone, 765-588-3470, or FAX, 765-463-3501.