Bio Data Curator

Rothamsted Research has been collecting using and re-using agricultural research data for over 175 years. Today, Rothamsted produces data across a diverse range of disciplines, from molecular to landscape scales and low to high throughputs. To address the challenges for managing and reusing these data, and help our scientists to maximise their impact, Rothamsted Research is seeking new Bio Data Curator to join the Research Data and Systems team. We are especially keen to hear from candidates with experience in molecular omics or bioimaging data management.

 

You will support researchers to effectively plan and manage research data before, during and after projects. You will work with science leaders across Rothamsted's new science programmes to ensure compliance with Data Management Plans and funder data sharing policies, and, to ensure resulting datasets are appropriately documented and published to optimise their discovery, reuse and impact. Successful candidates will be matched to science programmes based on their previous experience and domain knowledge.

As an active member of Rothamsted’s Research Data and Systems Team you will provide data stewardship support to scientists and students, promote FAIR Data adoption, provide data stewardship guidelines and training, and liaise with other team members and IT Services to ensure appropriate data infrastructures are available.

 

As a Bio Data Curator, you will have a solid understanding of the FAIR Data Principles and their application. You will ideally have domain expertise in plant sciences or molecular biology with a solid understanding of laboratory analytical protocols, the data they produce and how this data is managed. You will know which data standards should be used for different data types, and how to apply them. Where necessary, you will engage with the wider research data community to improve relevant data standards for describing Rothamsted datasets. You will have experience submitting datasets to community repositories such as those provide by the EBI and support Rothamsted Scientists to publish their data to make it findable, reusable and impactful. Your domain data management expertise will be complemented by appropriate technical data competencies and tool use, such as data modelling, knowledge representation, data wrangling, transformations, and workflows.

 

 

To evidence your domain experience, you will need a relevant first degree and experience of managing research data. You will need to provide evidence and if shortlisted, demonstrate at interview that you have the technical data competencies relevant to the role that will be needed, such as data validation and quality assurance methods, use of data standards to annotate and describe datasets, and best practices for data publishing and sharing. You will be a good communicator able to work with research scientists and help them to understand the technical and research benefits of data sharing.