Scientific R&D Data Steward (ARPA-H)

Posted about 1 month agoViewed
126200 - 141975 USD per year
United StatesFull-TimeScientific R&D
Company:Ripple Effect
Location:United States
Languages:English
Seniority level:Senior, 12+ years
Experience:12+ years
Skills:
Project ManagementSharePointData scienceMicrosoft OfficeData management
Requirements:
Bachelor's degree in a related field 10+ years of experience in data management and governance 10+ years of experience managing biomedical data types (EHRs, radiological imaging, digital pathology, proteomics) Experience in the management and handling of PII, PHI, CUI, and IP data while implementing FAIR and FHIR practices Experience implementing minimum standards as related to the Gold Standard Science Executive Order Intermediate experience with Microsoft Office productivity software and collaboration tools (Microsoft Teams, SharePoint) Experience in interacting and communicating with senior-level executives to deliver proactive and effective communications Ability to mentor others on communications best practices surrounding data management Advanced data management technology skills and a commitment to learning, with effective use and ability to teach others about relevant tools
Responsibilities:
Advise on data governance standards, handling practices, and potential solutions for various biomedical data types Draft policies supporting the use and sharing of agency research data; coordinate education efforts on best practices and use of data Build IT and data project plans and roadmaps; manage data requirements in take pipeline and prioritization Advise on scientific and healthcare data repositories, data types, or tools that could enhance programs; advise on data standards that will support the scientific vision and long-term growth Identify key stakeholders to collect pain points and requirements; socialize project plans to facilitate buy-in from stakeholders Identify cost efficiencies regarding data and technology infrastructure requirements Maintain current scientific knowledge of emergent biomedical data types, technologies, and standards; identify ways that re-use of data can support better science
About the Company
Ripple Effect
View Company Profile
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