Senior Director of Knowledge Informatics

Labcorp's precision oncology multi-modal real-world data (RWD) assets, collected through routine clinical care, can be leveraged for several secondary uses with the overarching goal of improving care and outcomes for patients with cancer. The Senior Director of Knowledge Informatics will oversee an interdisciplinary team responsible for developing and applying integrative clinical and molecular models using RWD to address important biological and clinical questions in cancer. He/she will be responsible for designing and developing information domain models expressed as knowledge graphs and linked meta-data schemas. The candidate is a scientist-oriented subject matter expert who has worked directly with different data sources, particularly EHR-driven clinical data and NGS data within the oncology realm and is experienced in building data "knowledge bases" and a "Knowledge Management System" that facilitates the downstream use of precision oncology real world data. This leadership role will interact with senior leaders across and beyond Enterprise Oncology on a regular basis.

What you'll get to do:

• Develop and maintain or select and internalize controlled vocabularies, taxonomies and ontologies using semantic web technologies and linked data principles in multiple areas
• Hands-on work with data modeling of disparate real-world data sources
• Interface with OmniSeq, PGDx, Medical, Commercial, and IT leadership on the product development and implementation of Real-World Data solutions.
• Serve as the main point of contact with external data resources/vendors for technical matters related to data aggregation and harmonization
• Establish expertise that evolves the field of knowledge informatics in precision oncology and is recognized through presentations and/or co-authorship of publications.
• Manage, counsel, and coordinate the activities of a team of experienced specialists contributing to ontology authoring and engineering

Who you are:

• 8+ years experience in industry or health care setting, following completion of PhD degree in quantitative discipline (e.g. statistical genetics, cancer genetics, bioinformatics, computational biology, or similar).
• 5+ years of validated experience in semantic technologies, ontology management, data management within precision oncology or a core supporting field
• Demonstrated expertise with integrative modeling of clinical and/or omics dataset to derive new biological insight as well as experience developing, using, and maintaining relational and/or distributed databases
• Experience working with standard controlled clinical vocabularies, including ICD-9/10,SNOMED-CT, HCPCS, NDC, RxNorm, CPT/DRG, NAACR, OncoTree, etc.
• Deep knowledge of standard -omics nomenclature like; HUGO HGNC, GeneOntology, HGVS, dbSNP
• Broad knowledge of semantic web standards (RDF, SKOS, OWL, OBO, SPARQL) as well as linked data principles
• Strong programming experience in R or Python and SQL skills
• Ability to influence and engage key strategic and technical partners
• Proven track record of leading in a matrixed organization
• Excellent communication, interpersonal, and written skills
• Ability and willingness to travel: < 20%

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