Job Summary

• The Scientific Knowledge Engineering team is responsible for data modeling, ontology definition and management, and vocabulary mapping to ensure Onyx platforms speak scientific language.
• This role involves translating highly technical information from domain experts into appropriate data models, ontologies, and vocabularies to effectively structure and index data.
• Key responsibilities include defining schemas and data models for scientific information, collaborating with external groups to align data standards, and championing data lineage, data quality, and FAIR data principles.

Matching Summary

Salary

Base: $145,200 to $242,000; Bonus/Equity: annual bonus and eligibility for long-term incentive program; Benefits: health care, insurance, retirement, paid holidays, vacation, leave

Skills & Requirements

Key Requirements

• Masters degree in relevant field
• 6+ years of relevant work experience
• Experience with Knowledge Graph development
• Experience leading across organizational boundaries
• Proficiency in Python
• Experience with bioinformatics pipelines

Work Rights