Sr Curation Scientist

Labcorp is seeking a Senior Curation Scientist to join our team in a fully remote capacity.

Work Schedule:This is a full time, exempt (salaried) position. Standard business hours align with Monday through Friday, 8:00 a.m. to 5:00 p.m. in the employee's local time zone. Business needs may occasionally require flexibility in work hours, with reasonable notice provided when possible.

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.

• Bachelor's degree in Applied Mathematics, Statistics, Biochemistry, or a related discipline with 5 or more years of relevant experience; or Master's degree with 3 or more years of relevant 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.

• PhD with 2 or more years experience.

• 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.