Principal Data Engineer

Principal Data EngineerAlzheon, Inc. is a clinical-stage biopharmaceutical company developing a broad portfolio of product candidates and diagnostic assays for patients suffering from Alzheimer's disease and other neurodegenerative disorders. We are committed to developing innovative medicines by directly addressing the underlying pathology of devastating neurodegenerative disorders. Our lead Alzheimer's clinical candidate, ALZ-801, is an oral agent in Phase 3 development as a potentially disease modifying treatment for AD. ALZ-801 is an oral small molecule that fully blocks formation of neurotoxic soluble amyloid oligomers in the brain. Our clinical expertise and technology platform are focused on developing drug candidates and diagnostic assays using a precision medicine approach based on individual genetic and biomarker information to advance therapies with the greatest impact for patients.Our experienced and passionate drug development team is focused on applying precision medicine, cutting-edge disease biomarkers, brain imaging and unique biologic insights to advance therapies with the greatest impact for patients. We are seeking individuals with an entrepreneurial spirit to join our team and help make the first oral Alzheimer's disease-modifying therapy a reality for patients and their families, in a few short years.Alzheon is seeking a hands-on engineering leader to serve as Principal Data Engineer, building the governed data foundation behind our clinical development, regulatory submissions, scientific analytics, and AI work. You will own the architecture and the engineering that ingests, validates, transforms, integrates, and delivers complex clinical and biomedical data with the quality, lineage, security, and reliability this work demands.In practice, that means architecting and operating our cloud data platform and bringing clinical, biomarker, imaging, safety, operational, and external data together into analysis-ready and AI-ready products that teams can rely on without reassembling them from vendor files every time a question comes up.This is a hands-on role for someone who has Alzheimer's data experience or is passionate about getting intimately familiar with the nuances of disease-specific data to uncover inconsistencies, errors, and data skeletons that require substantial data clean up in a fully compliant manner.Key ResponsibilitiesDesign scalable cloud architecture with raw data, CDISC, curated/harmonized, and analytical layersEstablish ownership, lineage, access controls, retention rules, and secure exchange patternsBuild automated ingestion, validation, transformation, reconciliation, and publishing pipelinesIntegrate EDC, RTSM, eCOA/ePRO, laboratory, imaging, biomarker, safety, vendor, and real-world dataImplement transfer monitoring, error handling, and audit loggingAutomate data-quality rules, exception management, and operational monitoringMaintain architecture diagrams, interface specifications, dictionaries, lineage, procedures, and validation evidenceDevelop governed datasets for biostatistics, dashboards, AI/ML, and decision supportSet engineering standards and lead internal engineers and external partners while remaining hands-onRequirementsDegree in computer science, engineering, bioinformatics, information systems, or a related field8+ years of progressive data engineering experienceAdvanced SQL and Python skills and experience with modern cloud data platformsExperience integrating complex external datasets with lineage and quality controlsPreferred QualificationsClinical trial or biopharmaceutical data experience, especially in Alzheimer's diseaseKnowledge of Medidata integrations, CDISC SDTM/ADaM, SAS interoperability, and submission flowsExperience with Azure, Snowflake, AWS, MLOps, or multimodal biomedical dataAll qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status.