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Employment type:
Full time
Experience required:
Intermediate
Salary
Salary not provided
About the company:
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…
The role will focus on data integrity and analytical needs across Inari business critical processes from Scientific lab experiments through to the Product development Field trials in collaboration with Science and Product development data managers. The role will address two complementary needs at Inari, first it will ensure fit-for-purpose data management across Science and Product Development systems of records and second will oversee the creation of Inari plant knowledge base to address Science and Product Development analytical needs.
Own and manage business process map and system of records map in collaboration with Science and Product Development data managers
Own and manage the Inari data catalog and registration process including Inari master data keys and controlled vocabularies
Run the data governance meeting and change management process for the Inari data platform
Work closely with Science and Product Development data managers to coordinate data integrity and access for cross-functional needs and defining policies/standards required
Work closely with Science and Product Development data managers and systems/data engineering to assess and address the data capture and integrity (e.g. system of records) gaps across Inari critical business processes
Work closely with data science manager and key Science and Product Development stakeholders (e.g. project teams, computational biology) to define Inari data products portfolio, roadmap and lifecycle management
Work closely with data engineering manager to implement Inari data products portfolio, roadmap and lifecycle management
Work closely with Science data manager to define the data accessibility approach for the biological data generated in the Science labs from experimental data and their metadata to any contextual data required to describe the scientific context for the experiments (e.g. genomics and
plant ontologies) to produce various multi-omics data products.
Work closely with Product development data manager to define the data accessibility approach for the green house through field trial data from key systems (e.g. ELN, LIMS, PRISM) including any additional data enrichments and ensure that all data assets are properly cataloged and accessible to relevant users at Inari
10+ yrs experience in a life sciences data management role or equivalent.
University degree in life sciences or equivalent experience
Computer science degree or equivalent experience
Avid collaborator with strong communication skills
Track record of experience with data governance, data quality, data architecture, data integration, data management practices and data product life cycle management
Proven experience with project planning, management, and prioritization of business needs
Experience in agrigenomics, agtech, plant biology is a plus
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