Senior Data Architect, Clinical Cloud Platform

Alzheon, Inc.; Framingham, Northern (MA, KY); Hybrid; USD 180,000 - 240,000; Full time

Job summary

Alzheon, Inc. is seeking a hands-on Principal Data Engineer to build the governed data foundation behind our clinical development, regulatory submissions, scientific analytics, and AI work.

You will own the architecture for ingesting, validating, transforming, integrating, and delivering complex clinical and biomedical data with the quality, lineage, and security this work demands, enabling AI-ready products for teams to rely on.

Qualifications

• 8+ years of progressive data engineering experience.
• Advanced SQL and Python skills.
• Experience with modern cloud data platforms and data governance.
• Experience integrating complex external datasets with lineage and quality controls.

Responsibilities

• Design scalable cloud architecture with raw data, CDISC, curated/harmonized, and analytical layers.
• Establish ownership, lineage, access controls, retention rules, and secure exchange patterns.
• Build automated ingestion, validation, transformation, reconciliation, and publishing pipelines.
• Integrate EDC, RTSM, eCOA/ePRO, laboratory, imaging, biomarker, safety, vendor, and real-world data.
• Implement transfer monitoring, error handling, and audit logging.
• Automate data-quality rules, exception management, and operational monitoring.
• Maintain architecture diagrams, interface specifications, dictionaries, lineage, procedures, and validation evidence.
• Develop governed datasets for biostatistics, dashboards, AI/ML, and decision support.
• Set engineering standards and lead internal engineers and external partners while remaining hands-on.

Skills

SQL

Python

Cloud platforms

Data integration

Data governance

Education

B.S. or higher in CS/Engineering/Bioinformatics

Tools

Azure

Snowflake

AWS

Medidata integrations

Job description

Alzheon, Inc. is seeking a hands-on Principal Data Engineer to build the governed data foundation behind our clinical development, regulatory submissions, scientific analytics, and AI work.

You will own the architecture for ingesting, validating, transforming, integrating, and delivering complex clinical and biomedical data with the quality, lineage, and security this work demands, enabling AI-ready products for teams to rely on.