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Labcorp

Senior Curation Scientist

Labcorp

Senior Curation Scientist at Labcorp transforming complex oncology testing data into high‑quality enterprise data assets. Collaborating with cross-functional teams to support advanced analytics in oncology.

Posted 7/30/2026full-timeRemote • North Carolina • 🇺🇸 United StatesSenior💰 $125,000 - $145,000 per yearWebsite

Core Competencies

Role fit
Core Competencies

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Demonstrates expertise in bioinformatics and data integration, with a strong focus on oncology data curation and the application of clinical data standards. Proficient in developing data structures and mappings to support large-scale data integration and ensure high data quality.

Highest-signal resume keywords
BioinformaticsData IntegrationNext-Generation Sequencing (NGS)Clinical Data StandardsPython Scripting

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Data CurationData MappingSQL Query DevelopmentNatural Language ProcessingBiomedical Ontology Development
Tools & Technologies
DatabricksSAP HANAJiraConfluenceGit
Industry Keywords
OncologyICD-O-3FHIRMCODELOINCICD-10UMLSSNOMEDCancer BiologyBiomedical Vocabularies

Tech Stack

Tools & technologies
PythonSQL

About the role

Key responsibilities & impact
  • 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

Requirements

What you’ll need
  • Bachelor’s degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational Biology, or Biostatistics 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
  • 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)

Benefits

Comp & perks
  • Medical, Dental, Vision
  • Life Insurance
  • STD/LTD
  • 401(k)
  • Paid Time Off (PTO)
  • Flexible Time Off (FTO)
  • Tuition Reimbursement
  • Employee Stock Purchase Plan