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Program Office

Data Associate (Agricultural Science)

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Location:  Boston, MA

Joyn Bio is a joint venture between Bayer and Ginkgo Bioworks that applies synthetic biology tools to engineer better microbes for agriculture

Objective

  • The Data Associate will help us integrate proprietary data from microbiology, molecular biology, and plant sciences into our growing data assets as we engineer microbes for agricultural applications that provide season-long benefits to crops.

Responsibilities

  • Organize and clarify Joyn Bio data. The Data Associate will work with the Data Science team to ensure that data from Microbial Engineering, Plant Sciences, and Bioprocessing & Formulation are well-structured, such that data packages are standardized across multiple types of data. Organize data to ensure that  data sets use Joyn Bio ontologies and controlled vocabularies, thus enabling analysis for strain selection across design-build-test cycles incorporating multiple teams.  
  • Curate, validate, accelerate. The Data Associate will also work with the Data Science Lead and team to develop and use statistical measures of data quality to verify our ability to conduct increasingly advanced data science analyses. Manage and curate data sets from Microbial Engineering projects, Plant-Microbe Interaction experiments, Greenhouse and Field Trials, and Bioprocessing & Formulation runs. Work with the Data Teams in Ginkgo BioWorks to accelerate productive data flow between Joyn Bio teams, Ginkgo BioWorks, and collaborators.  Work with data generated internally and in collaboration with outside labs and companies. Strengthen and model best data practices.
  • Aggregate, summarize, and visualize Joyn Bio progress.  Combine data sets using scripting and, together with the Data Science team, develop ad-hoc prototype pipelines for preprocessing and improving data quality.  Perform exploratory analyses and visualize data and data quality metrics. Aggregate and summarize data into scorecards, and track progress by developing dashboards.

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