Pairwise

  • Data Scientist

    Job Locations US-NC-Raleigh-Durham
    Posted Date 2 months ago(2 months ago)
    Job ID
    2018-1084
    # of Openings
    1
    Category
    Scientist
  • Overview

    Pairwise believes healthy food should be affordable, convenient, and sustainable.  We believe gene editing can be used to accelerate plant breeding in leveraging the natural genetic diversity in agricultural crops to address global food challenges.  We are bringing the benefits of these new innovations both to producers and directly to consumers through the produce aisle of their local grocery store.  Located in the Raleigh-Durham metro area, Pairwise was formed in 2017 and has plans to add about 100 employees over the next year to help meet our aggressive product development goals. 

     

    Pairwise is looking to hire motivated and collaborative scientists into its R & D organization to help achieve a broad set of scientific goals and be part of developing our scientific strategy.  We currently have two open roles for Data Scientists on the Product Discovery team. These roles will play a key part in helping to distill meaning and insight from large genomic, genetic and phenotypic data sets. We are looking for scientists with a PhD or equivalent level of training and the ability to work independently and as part of the team. Your contribution will be critical to helping Pairwise meet a set of aggressive targets and building a culture where science can be fun.

    Qualifications

    • PhD or equivalent experience in Data Science, Statistics, Computational Biology or related fields
    • Strong track record of scientific innovation, formulating research, and developing and executing novel systems and tools
    • Demonstrated ability to deliver scientific results in a cross functional environment
    • Remain current in targeted area and scientific discipline

    PM18

    Responsibilities

    • Collaborate with the discovery teams to identify target loci controlling traits
    • Use novel algorithmic approaches to solve biological problems
    • Apply statistical and numerical frameworks to large data sets
    • Collaborate to devise new methods to characterize on and off target edits
    • Provide requirements for Pairwise’s compute and storage environment
    • Collaborate across multifunctional teams to find new insights and drive the innovation culture
    • Collaborate with universities and other scientific organizations to bring diverse thought into Pairwise

    Options

    Sorry the Share function is not working properly at this moment. Please refresh the page and try again later.
    Share on your newsfeed