About the Department
The Volchenboum Lab is dedicated to improving pediatric cancer research, care, and outcomes. The Lab is a rapidly growing team of experts in medicine, clinical research, data standards, data infrastructure and programming, data governance, and international data sharing. Headquartered in the Department of Pediatrics at the University of Chicago, the Volchenboum Lab works to connect and share disparate data sets in order to alter longstanding pediatric cancer research paradigms and enable the study of new research questions that will drive cures. With their signature project, the Pediatric Cancer Data Commons (PCDC), the Lab is uniting clinical data from across five continents for almost all types of pediatric cancer. The PCDC currently houses the world’s largest sets of clinical data for pediatric neuroblastoma and soft tissue sarcoma and is in the process of onboarding nine additional pediatric cancer disease groups The Volchenboum Lab also leverages their expertise in data standards and infrastructure as part of nationwide efforts to make cancer data more accessible and impactful.
We are looking for a highly motivated Senior Clinical Data Analyst to join our growing research team currently constructing a Pediatric Cancer Data Commons (PCDC) at the University of Chicago. The PCDC is transforming research in childhood oncology by creating a single platform of harmonized clinical data that will serve as a global resource for medical investigators. The Senior Clinical Data Analyst will play a key role in defining the ontologies of the PCDC and working with CRI software engineers to develop, instantiate, and populate the data model.
This at-will position is wholly funded by contractual grant funding, which is renewed under provisions set by the grantor of the contract. Employment will be contingent upon the continued receipt of these grant funds and satisfactory job performance.
Develops and updates consensus data dictionaries in collaboration with disease group consortia.
Uses subject matter and best practices knowledge to perform lab and/or research-related duties and tasks. Works independently to assist with project design.
Solves complex problems relating to the administration of projects, including planning new procedures, adapting existing procedures to the needs of the project, and making significant contributions to methodology.
Guides data collection, evaluation and analysis. Designs and manages databases. Writes reports, articles and manuscripts.
Presents research findings at meetings and conferences, as well as to funding agencies. Conducts literature reviews. Develop and maintain liaisons and effective working relations with groups and individuals, agencies, and the public to encourage cooperative management strategies or to develop information and interpret findings.
Performs other related work as needed.
Minimum requirements include a college or university degree in related field.
Minimum requirements include knowledge and skills developed through 5-7 years of work experience in a related job discipline.
B.S. in biological sciences.
MS, Ph.D. or M.D.
Working knowledge 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.)
Translate medical knowledge into technical requirements for software developers.
Excellent communication, time management / organization, troubleshooting, and analytical skills.
Facilitate group decision-making processes and foster an environment of healthy team debate and collaboration.