We are seeking Data Architects at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible
Job Summary
We are seeking Data Architects at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible.
You will create the schemas, ontologies, data models, knowledge graphs, and platform architectures that transform raw scientific data into machine-actionable, FAIR-compliant, insight-ready assets.
Full-time equivalent employees also will be eligible for a company bonus (depending, in part, on company and individual performance).
Matching Summary
We are seeking Data Architects at multiple levels to design and build the data infrastructure that makes AI-native drug discovery possible.
Salary
$132,000 - $193,600; Bonus: company bonus; Benefits: comprehensive benefit program
Skills & Requirements
Must-have
Data modeling and ontologies
Data platform and lakehouse architecture
Knowledge graph and specialized data systems
Semantic data standards (RDF, OWL, SPARQL)
ETL/ELT pipelines using Spark, dbt
Scientific data types (chemical, biological)
Nice-to-have
AI-native drug discovery enablement
FAIR-compliant data frameworks
Cross-functional partnership
Agile development methodologies
Continuous learning and improvement
Key Requirements
B.S. or M.S. in STEM field
7+ years of data architecture/engineering experience (B.S.)
5+ years of data architecture/engineering experience (M.S.)