Data Curator na University of Pittsburgh

%3Cp class=%22MsoNormal%22%3EThe University of Pittsburgh Center for Research Computing and Data (CRCD) seeks a highly motivated and detail-oriented Data Curator to support our growing research data management and curation services and related training opportunities. This position, funded for a minimum of 3 years, will play a critical role in ensuring that our teams, particularly from social science and related disciplines, are empowered to organize and deploy research data and data-based applications that are findable, accessible, interoperable, and reusable (FAIR).%3C/p%3E%3Cp class=%22MsoNormal%22%3EThe Data Curator will be responsible for executing and continuously improving data curation workflows, working closely with researchers, training teams, and repository staff to facilitate responsible and effective use of research data.%3C/p%3E%3Cp class=%22MsoNormal%22%3EThe ideal candidate will have demonstrable experience in managing unstructured and semi-structured data, a keen understanding of the needs of social science researchers, and excellent communication skills for collaborative work. Experience with machine learning pipelines and transformer-based text processing tools is preferred.%3C/p%3E%3Cp class=%22MsoNormal%22%3E%3Cstrong%3EKey Responsibilities:%3C/strong%3E%3C/p%3E%3Cul style=%22margin-top:0in;%22 type=%22disc%22%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level1 lfo1;mso-pagination:widow-orphan;tab-stops:list .5in;text-autospace:ideograph-numeric ideograph-other;%22%3E%3Cstrong%3EDevelop, Implement, and Improve Data Curation Workflows:%3C/strong%3E%3Co:p%3E%3C/o:p%3E%3Cul style=%22margin-top:0in;%22 type=%22circle%22%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3EExecute and refine replicable and efficient data curation workflows for data file packaging and repository ingestion, with a special focus on unstructured and semi-structured information from social science and related research projects.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3EPerform file format normalization, prepare documentation, and generate comprehensive metadata for datasets.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3EConduct quality reviews of dataset packages to ensure completeness, accuracy, and adherence to standards.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3EManage the transfer of curated dataset packages to specified institutional or external repositories.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3EOrganize intermediate data products and documentation to enhance the efficiency and accuracy of interactive applications and tools built upon repository data.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3E%3Cp%3EDocument the provenance and transformations of data across model-based processing within a project where applicable.%3Co:p%3E%3C/o:p%3E%3C/p%3E%3Cp%3E%26nbsp;%3C/p%3E%3Cp%3E%3Co:p%3E%3C/o:p%3E%3Co:p%3E%3C/o:p%3E%3Cstrong%3E%3Co:p%3E%3C/o:p%3E%3C/strong%3E%3Co:p%3E%3C/o:p%3E%3Co:p%3E%3C/o:p%3E%3Co:p%3E%3C/o:p%3E%3C/p%3E%3C/li%3E%3C/ul%3E%3C/li%3E%3C/ul%3E
%3Cul style=%22margin-top:0in;%22 type=%22disc%22%3E%3Cli%3E%3Cstrong%3EUser-Focused Curation for Social Science Data:%3C/strong%3E%3Co:p%3E%3C/o:p%3E%3Cul%3E%3Cli%3EDesign and carry out all curation activities with careful attention to the specific needs of users of social science datasets. This includes a focus on appropriate data types, file formats, dataset sizes, and content sensitivity.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli%3EEnsure curated data not only meets FAIR standards and satisfies all reporting requirements (e.g., for funders, publishers) but also facilitates the responsible use of the data in downstream research, training, and educational activities.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli%3EAddress challenges related to de-identification, data privacy, and ethical considerations pertinent to social science data.%3C/li%3E%3C/ul%3E%3C/li%3E%3Cli%3E%3Cstrong%3ECollaboration and Communication:%3C/strong%3E%3Co:p%3E%3C/o:p%3E%3Cul%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3ECollaborate effectively with research and training teams within the social sciences and other disciplines to understand their data curation needs and challenges.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3EIterate on and improve data curation workflows and documentation based on feedback from researchers, data users, and other stakeholders.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l0 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3EProvide consultation and training to researchers on data management best practices, data documentation, and preparation for analysis, curation, and deposit.%3C/li%3E%3C/ul%3E%3C/li%3E%3Cli%3E%3Cstrong%3ETechnical Implementation and Innovation:%3C/strong%3E%3Cul%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l1 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3EContribute to the design and implementation of APIs for programmatic data access where appropriate, enhancing data discoverability and usability.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli class=%22MsoNormal%22 style=%22line-height:115%;margin-bottom:8.0pt;mso-list:l1 level2 lfo1;mso-pagination:widow-orphan;tab-stops:list 1.0in;text-autospace:ideograph-numeric ideograph-other;%22%3EStay abreast of emerging trends, tools, and standards in data curation, digital preservation, and research data management, particularly as they apply to social science data.%3Co:p%3E%3C/o:p%3E%3C/li%3E%3Cli%3EParticipate in local and national discussions and initiatives related to research data management and curation.%26nbsp;%3C/li%3E%3C/ul%3E%3C/li%3E%3C/ul%3E%3Cp%3EThe Center for Research Computing and Data (CRCD) supports leading-edge research with free access to advanced computing hardware and software for fields across the entire research community, along with training and consultation by CRCD research faculty. Under the umbrella of Pitt Research, CRCD helps shape innovation ideas into reality using methods including simulation, data analysis, image and text analysis, and genomic sequencing analysis. Whether incorporating machine learning, building humanities data resources, or improving computation, CRCD helps expand the possible.%26nbsp;%3C/p%3E
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Organizes and deploys research data and data-based applications that are findable, accessible, interoperable, and reusable (FAIR). Responsible for executing and continuously improving data curation workflows, working closely with researchers, training teams, and repository staff to facilitate responsible and effective use of research data.

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• Managing unstructured and semi-structured data
• Excellent written and verbal communication skills
• Ability to work collaboratively

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Position is mostly sedentary, but may require travel on campus to attend meetings or events. 

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