DescriptionThe William H. Welch Medical Library seeks a collaborative, energetic, and service-oriented Data Informationist to join an established team of information professionals that serves the faculty, staff and students of the Johns Hopkins Medical Institutions (JHMI). The Data Informationist will build an evolving set of data services to meet the needs of clinical, public health and basic science researchers across the research data lifecycle from its creation to preservation. S/he will investigate research practices related to data creation, use, organization, management and storage across the Schools of Medicine, Nursing and Public Health (SOM, SON and SPH). S/he will also participate in the institution's effort to measure the impact of research by Hopkins scholars. The Data Informationist position reports to the Associate Director for Clinical Informationist Services.
This position will be responsible for, but not limited to, the following duties:
Administer consultation services for data-related issues and methods for acquiring and using restricted- use and protected health information (PHI) in computing systems/environments needed for this data. Select and apply a variety of metadata practices and standards related to the description, access and preservation of existing external medical and health-related digital data. Interface with various groups involved in data science, such as the Institute for Clinical and Translational Research (ICTR) and the Center for Data Analysis, and collaborate with other University-wide data interest groups to promote awareness of data resources, products and services among faculty and students through outreach and embedded activities. Identify and search external data sets and troubleshoot formatting issues related to them; advise on research data formats; and recommend methods to facilitate data transfer into statistical packages. Manage data-intensive collaborations in varied research data management activities. Develop and lead instructional sessions about the use of various data resources and tools, and best practices for data access, collection, management, security and preservation with a targeted focus on medical and health-related data. Assess and recommend data hardware and software products and data-centric databases for purchase. Participate on library-wide committees, and serve as Welch Library's official representative to ICPSR. Develop and maintain awareness of data-centered strategies and technologies across the health sciences, attend relevant conferences and workshops for his/her continuing professional development.
ALA-accredited Master's degree in the Library/Information Sciences, or an advanced graduate degree in a related field, such as informatics, data science, health sciences, or statistics. Minimum of three years professional experience working with large research datasets and/or familiarity with major data resources such as ICPSR, healthdata.gov, hospital information systems, Medicare claims data, and the U.S. Census Bureau. Knowledge and experience with research methodologies, quantitative and qualitative data and statistical software packages such as SAS, Stata, R, SPSS, ArcGIS, including expertise with at least one of these or similar programs. Knowledge and experience with the lifecycle of research data and data management plan requirements (NIH, NSF, etc.). Strong, demonstrated service orientation with abilities to work effectively in a collaborative team environment. Demonstrated excellent analytical and organizational skills, verbal and written communications and interpersonal skills. Understanding of and experience with relevant metadata practices and standards such as DDI, SDMX, OASIS, Dublin Core, OAI-PMH, and discipline-specific metadata standards, such as LOINC, ICD-10, SNOMED.
A second advanced degree in a relevant discipline in informatics, data science, health sciences, or statistics. Understanding of research process used in a range of disciplines, especially in the health sciences with particular focus on the research lifecycle of data. Familiarity with data management requirements of federal agencies (NIH, NSF, etc.). Experience teaching workshops of a technical nature. Project management experience; demonstrated ability to design, lead, and complete a project within scope.
NOTE: The successful candidate(s) for this position will be subject to a pre-employment background check.
If you are interested in applying for employment with The Johns Hopkins University and require special assistance or accommodation during any part of the pre-employment process, please contact the School of Medicine HR Divisional Office at 410-955-2990. For TTY users, call via Maryland Relay or dial 711.
During the Influenza ("the flu") season, as a condition of employment, The Johns Hopkins Institutions require all employees who provide ongoing services to patients or work in patient care or clinical care areas to have an annual influenza vaccination or possess an approved medical or religious exception. Failure to meet this requirement may result in termination of employment.
The pre-employment physical for positions in clinical areas, laboratories, working with research subjects, or involving community contact requires documentation of immune status against Rubella (German measles), Rubeola (Measles), Mumps, Varicella (chickenpox), Hepatitis B and documentation of having received the Tdap (Tetanus, diphtheria, pertussis) vaccination. This may include documentation of having two (2) MMR vaccines; two (2) Varicella vaccines; or antibody status to these diseases from laboratory testing. Blood tests for immunities to these diseases are ordinarily included in the pre-employment physical exam except for those employees who provide results of blood tests or immunization documentation from their own health care providers. Any vaccinations required for these diseases will be given at no cost in our Occupational Health office.
Last updated: Tuesday, February 28, 2017 23:40 UTC
How to apply
SPSS R Open Archives Initiative Protocol for Metadata Harvesting Open Archival Information System Nursing National Science Foundation Metadata Medicine Inter-university Consortium for Political and Social Research Dublin Core Data management
Published: Thursday, March 17, 2016 14:14 UTC