Data Architect for AI-Driven Drug Discovery

BioSpace; San Francisco (CA); On-site; USD 152,000 - 244,000; Full time

Job summary

Lilly is seeking Data Architects at multiple levels to design data infrastructure for AI-native drug discovery. You will create schemas, ontologies, data models, and knowledge graphs that transform raw scientific data into machine-actionable assets for discovery scientists and autonomous AI agents.

This role sits within Data Foundry and spans data modeling, lakehouse architecture, and knowledge graph systems.

Qualifications

• MS with 6+ years or PhD with 2+ years in data architecture, data engineering, or scientific informatics.
• Deep expertise in at least one focus area: relational databases, data modeling, data platform and lakehouse architecture, or knowledge graph systems.

Responsibilities

• Design and implement data models, schemas, and ontologies for chemical, biological, and automation-generated data.
• Define metadata standards and FAIR data frameworks in partnership with cross-functional teams.
• Implement semantic data standards (RDF, OWL, SPARQL) for interoperable data.
• Design and implement data lakehouse architectures (Databricks, Snowflake) and ETL/ELT pipelines.
• Build knowledge graphs to capture molecular, target, and experimental relationships.

Skills

Data modeling

Ontology engineering

Knowledge graph design

Data lakehouse architecture

ETL/ELT pipelines

Spark / dbt

SQL

Cloud platforms (AWS/Azure/GCP)

LIMS data integration

Scientific data management

Education

MS in Computer Science / Data Science / Bioinformatics

PhD in related field

Tools

Neo4j

MongoDB

TileDB

Databricks

Snowflake

Kafka

Kinesis

dbt

Spark

OWL / RDF / SPARQL

Job description

Lilly is seeking Data Architects at multiple levels to design data infrastructure for AI-native drug discovery. You will create schemas, ontologies, data models, and knowledge graphs that transform raw scientific data into machine-actionable assets for discovery scientists and autonomous AI agents.

This role sits within Data Foundry and spans data modeling, lakehouse architecture, and knowledge graph systems.