Sr Curation Scientist

Job Responsibilities Collaborate with members of the Oncology Data Curation team and cross-functional partners to design data structures in JSON and relational formats that reflect the complexity of oncology testing data. Interpret oncology diagnostic test results to accurately map them into enterprise data models. Develop mappings between clinical test results and enterprise data warehouse structures to enable large-scale data integration. Apply and maintain clinical data standards including ICD-O-3, FHIR, mCODE, LOINC, ICD-10, UMLS, SNOMED, and related standards as appropriate. Standardize disease and biomarker data using controlled biomedical vocabularies and classifications. Expand and maintain biomedical ontologies to support evolving oncology knowledge. Apply natural language processing techniques to extract structured information from clinical test results. Curate, analyze, harmonize, and manage large oncology data sets while ensuring high data quality standards. Partner with engineering teams and participate in the full development lifecycle, from research and prototyping through production deployment. Support data quality, governance, and continuous improvement initiatives across oncology data platforms. Minimum Qualifications Bachelor's degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational Biology, or Biostatstics with 5 or more years of experience; or Master's degree with 3 or more years of experience. 1 or more year of demonstrated experience in bioinformatics, information integration, or knowledge modeling. 1 or more year of experience working with and processing next-generation sequencing (NGS) datasets and databases. 1 or more year of experience using general bioinformatics resources such as NCBI Entrez Gene, PubMed, OMIM, or ClinVar. Preferred Qualifications PhD with 2 or more years experience. Additional Job Standards Familiarity with clinical data standards such as HL7 and FHIR. Understanding of cancer biology and oncology therapies. Experience curating biomedical data and integrating terminologies for ontology development. Experience working with relational databases and platforms such as Databricks or SAP HANA. Proficiency in Python or Tcl scripting and SQL query development. Familiarity with tools such as Jira, Confluence, and version control systems (Git). Experience integrating public and proprietary biomedical information sources at scale. Exposure to scientific natural language processing or text-mining technologies. Strong attention to detail with excellent organizational, analytical, and communication skills. Ability to collaborate effectively across multidisciplinary project teams with a strong sense of ownership. Ability to demonstrate relevant research expertise through publications, presentations, software tools, or applied knowledge.