Senior Engineer I/II, Drug Discovery Platform
Core
Build the data backbone for an AI-driven drug discovery factory, enabling a closed loop between computational design and wet-lab experiments.
Role type
Senior IC backend engineer (data platform)
Builds
Molecule queue, compound registration system, lab instrument data pipelines, synthesis constraints state, and observability infrastructure.
Domain
Biotech / Drug Discovery / Data Engineering
Deliverable
production ML models
Required skills
Python, SQL, relational and NoSQL database design, schema evolution, cloud infrastructure (AWS), containerized deployment (Kubernetes), AI-assisted development tools
Preferred skills
Cheminformatics (RDKit, OpenEye), compound registry systems, ELN/LIMS integration, workflow orchestration (Flyte, Airflow, Dagster), lakehouse patterns (Iceberg, Delta Lake), automation/robotics data capture, domain background in pharma/biotech, agentic/LLM workflows
Technologies
AWS, Kubernetes, Python, SQL, RDKit, OpenEye, Flyte, Airflow, Dagster, Temporal, Iceberg, Delta Lake, Hudi, DuckDB, Polars, Spark
Responsibilities
Design and operate the shared molecule queue broker; build canonical molecule registry with normalization and duplicate detection; ingest data from automated synthesis and QC instruments; maintain live synthesis constraints and inventory state; own data quality, lineage, and SLAs for the closed-loop cycle.
Seniority
Senior, hands-on IC
