Founded in the 1990s, we are a leading clinical data intelligence business transforming how data and AI are ethically integrated into the healthcare space. We developed a comprehensive layer that captures and encodes patient encounters with unmatched precision by weaving AI into health tech, drug discovery, population health, and payer processes.
We are seeking Knowledge Graph Engineer to join our Semantic Web Team in playing an integral part of a wide array of projects aimed at virtualizing vast amounts of complex medical terminology and delivering a more comprehensive and responsive source of clinical terminology to healthcare professionals.
This person will utilize expertise in architecture and tooling to harmonize and leverage complex data sources including developing automated methods for large-scale data ingestion, manipulation, visualization, and delivery. An example of our latest project includes a platform that integrates LLM content generation, entity recognition, normalization, the layered use of multiple graphs for data enrichment, LLM verification of newly generated data, and the development of numerous APIs.
Responsibilities
- Become an expert in all areas of development within our graph data team and work on cross-functional projects including Natural Language Processing, Machine Learning, and AI techniques driven from our cutting edge platform
- Take part in all stages of the software life cycle including DevOps to ensure that our semantic web processes and resources operate optimally meeting the needs of our internal and external clients
- Work closely with the Semantic Architect to standardize the tooling, approaches, and patterns that can be broadly used and partner on design challenges
- Design and write quality source code, including documentation of detail level designs
- Leverage automation across testing, integration, and deployment activities
- Work hand-in-hand with product owners to break down features into actionable user stories
- Find, evaluate, recommend, and reason against existing ontologies that may be applicable to our work
- Design and publish ontologies to describe the core concepts of our domain when other sources are non existent or incomplete
- Refine and grow the governance process for graph data
- Aid in the implementation, growth, and maturation of the use of an enterprise ontology / graph data management software
Qualifications
Required
- BS in Computer Science or related field
- 5+ years of software engineering, 3+ years of semantic web development
- Proficiency in Python
- Experience with semantic web languages (RDFS, OWL, SPARQL, etc)
- Proficiency in database querying (SQL or NoSQL/SPARQL)
- Experience working with instance-level graph data & ontology development/maintenance
- Experience with graph data curation tools (TopBraid EDG, PoolParty, Anzo, Semaphore)
- Familiar with agile development, CI/CD, & utilizing technologies such as GIT, Jenkins
Preferred
- Experience with JavaScript, C#, Clojure, or Java
- Implementation of data constraints using SHACL
- Exposure to AWS and Terraform including working with graph data in Neptune
- Experience mentoring and leading junior engineers, communicating between departments and stakeholders, and leading teams to decision making
- Knowledge of Healthcare Ontologies and Healthcare Standard Terminologies (LOINC, SNOMED-CT, RxNorm, ICD10-CM)
Benefits
- 100% Remote Work
- Competitive compensation package including Equity, 401K matching, and Performance Bonus
- Medical, Dental, Vision, Life and Disability Insurance, Mental health benefits, FSA, etc
- Unlimited PTO, Holidays, and more
For this position you must be currently authorized to work in the United States. We do not sponsor for this position.
Caroline Veillon is recruiting for this position and the positions below.
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