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


  • 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

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