Associate Director, Data Engineer
Core
Design, build, test, deploy, and maintain robust data pipelines for R&D data and metadata ingestion, processing, and publication to support AI-enabled discovery.
Role type
Associate Director, Data Engineer (hands-on IC)
Builds
Modular, configurable, and reusable data pipelines for R&D use cases (e.g., SafetyOmics, AI4Assay)
Domain
Life sciences / R&D / Data Engineering
Deliverable
production ML models
Required skills
Python, AWS (S3, Lambda, Glue, Step Functions, RDS, CloudWatch, IAM), relational databases, workflow orchestration, data processing frameworks, CI/CD, Git, automated testing, observability, data quality controls, hands-on coding agents (Claude Code, Codex)
Preferred skills
AI agents and orchestration (MCP, guardrails), bioinformatics, multi-omics, genomics, Kubernetes, infrastructure-as-code, large dataset processing, statistical/ML techniques, regulated environment experience
Technologies
AWS, Python, Kubernetes, Git, CI/CD tools, data processing frameworks
Responsibilities
Design and implement end-to-end data pipelines from source integration to FAIR data publication; optimize pipelines for reliability, scalability, and cost; contribute hands-on code and shape technical decisions; partner with scientists and stakeholders to translate requirements into solutions; coordinate delivery with outsourced contractors
Seniority
Senior, hands-on IC
