Senior Curation Scientist

This is a fully remote position, open to applicants in North Carolina.

📋 Description

• Collaborate with members of the Oncology Data Curation team and cross-functional partners to create data structures in both JSON and relational formats that capture the intricacies of oncology testing data.

• Interpret the results of oncology diagnostic tests to accurately map them into enterprise data models.

• Develop mappings between clinical test outcomes and enterprise data warehouse structures to facilitate large-scale data integration.

• Implement and uphold clinical data standards, including ICD-O-3, FHIR, mCODE, LOINC, ICD-10, UMLS, SNOMED, and other relevant standards as necessary.

• Standardize disease and biomarker data utilizing controlled biomedical vocabularies and classifications.

• Expand and maintain biomedical ontologies to support the evolving landscape of oncology knowledge.

• Utilize natural language processing techniques to extract structured information from clinical test results.

• Curate, analyze, harmonize, and oversee large oncology datasets while ensuring adherence to high data quality standards.

• Collaborate with engineering teams and engage in the complete development lifecycle, from research and prototyping to production deployment.

• Contribute to data quality, governance, and continuous improvement initiatives across oncology data platforms.

⛳️ Requirements

• A Bachelor’s degree in Applied Mathematics, Statistics, Biochemistry, Bioinformatics, Computational Biology, or Biostatistics with 5 or more years of experience; or a Master’s degree with 3 or more years of experience.

• At least 1 year of demonstrated experience in bioinformatics, information integration, or knowledge modeling.

• A minimum of 1 year of experience working with and processing next-generation sequencing (NGS) datasets and databases.

• At least 1 year of experience utilizing general bioinformatics resources such as NCBI Entrez Gene, PubMed, OMIM, or ClinVar.

• Familiarity with clinical data standards like HL7 and FHIR.

• A solid understanding of cancer biology and oncology therapies.

• Experience in curating biomedical data and integrating terminologies for ontology development.

• Experience 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

• Medical, Dental, Vision

• Life Insurance

• STD/LTD

• 401(k)

• Paid Time Off (PTO)

• Flexible Time Off (FTO)

• Tuition Reimbursement

• Employee Stock Purchase Plan