Develops and updates consensus data dictionaries in collaboration with disease group consortia.
Applies research principles and relevant subject matter knowledge relevant to administer a research project. With a moderate level of direction, manages lab and/or research-related duties and tasks. Helps develop, design and conduct research projects according to plan.
Supports data collection and analytical needs of research projects. Ensures project compliance with different policies, procedures, directives, and mandates.
Takes responsibility for the following non-laboratory duties: transcribing and coding data; researching and applying data tabulation standards; and presenting research. Acquires higher-level skills and knowledge in the process.
Collaborates with consortium groups and other stakeholders to develop and implement data standards for pediatric cancer types.
Assists on grants, when necessary, specifically to develop standard terminologies and data models to connect cancer data and create a robust cancer data ecosystem. This includes work on genomics, proteomics, canine cancer, and imaging data.
Works closely with National Cancer Institute as necessary to develop and apply additional terminology and/or common data elements for pediatric cancer data.
Maintains technical and administrative support for a research project.
Analyzes and maintains data and/or specimens. Conducts literature reviews. Assists with preparation of reports, manuscripts and other documents.
Maintains recruiting and scheduling research subjects; assisting with developing or amending study protocols; assisting with developing data collection tools; assisting with building databases; and providing general administrative support. Has general awareness in research techniques or methods, regulatory policies and procedures, and relevant scientific field.
Performs other related work as needed.
B.S. in Biological Sciences
MS, Ph.D. or M.D.
Experience working with data dictionaries and/or leading groups to develop consensus-driven data standards.
Knowledge of biomedical ontologies (SNOMED CT, NCIT, etc.).
Understanding of clinical trials data.
Knowledge of biomedical common data models (FHIR, BRIDG, SDTM, OMOP, PCORNet, etc.)
Ability to translate medical knowledge into technical requirements for software developers.
Excellent communication, time management / organization, troubleshooting, and analytical skills.
Ability to facilitate group decision-making processes and foster an environment of healthy team debate and collaboration.
Cover letter (preferred)
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Internal Number: JR10156
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