Oncology Data Mapping Specialist
TechDigital Group
Top 3 must have’s Must have Oncology and Clinical experience/knowledge Map oncology EMR (Onco EMR or similar) and genomics source data to a targeted schema (FHIR mCODE or similar). Analyze and interpret back‑end tables, schemas, and content structures of oncology EMR systems. SQL or Python to transform source tables into the target data model. Operate within a Databricks Medallion architecture. Job description Proven experience with oncology EMR systems, including back‑end schema and table structures. Strong understanding of genomics data and its integration into clinical models. Experience with front‑end EMR workflows and clinical data abstraction. Hands‑on experience with FHIR mCODE or similar healthcare data models. Proficiency in SQL and Python for data transformation and modeling. Experience working in Databricks, with knowledge of Medallion architecture principles. Familiarity with Git for version control and collaborative development. Solid understanding of standard clinical terminologies and code sets, including:
ICD-10-CM/PCS
SNOMED CT
LOINC
RxNorm NDC #J-18808-Ljbffr TechDigital Group- ...Oncology Data Specialist Position : Full-Time, 100% Remote - Applicants are required to reside in Texas Work Schedule : Monday-Friday from 7:00am - 3:30pm WHY UT SOUTHWESTERN? With over 75 years of excellence in Dallas-Fort Worth, Texas, UT Southwestern is...SuggestedFull timeLocal areaRemote workMonday to Friday
- A leading medical center in Texas is seeking an Oncology Data Specialist for a full-time, 100% remote role. The candidate will be responsible for data collection, abstracting, and maintaining a high accuracy rate in case-finding. Essential qualifications include an Oncology...SuggestedRemote jobFull time
- Oncology Data Specialist Full‑Time, 100% Remote - Applicants must reside in Texas. Work schedule: Monday‑Friday 7:00am‑3:30pm. Why UT Southwestern With over 75 years of excellence in Dallas‑Fort Worth, UT Southwestern is committed to excellence, innovation, teamwork,...SuggestedFull timeLocal areaRemote workMonday to Friday
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