Senior Manager, Artificial Intelligence Data Engineer
Core
Designing and optimizing clinical data infrastructure, pipelines, and architectures to support AI/ML initiatives and digital transformation in life sciences.
Role type
Senior Manager, Artificial Intelligence Data Engineer
Builds
Modern data platforms (Snowflake, Databricks) and end-to-end data architectures for clinical/biomedical data
Domain
Life sciences / Healthcare / Clinical Data Engineering
Deliverable
production ML models | infrastructure
Required skills
Data engineering leadership, clinical data infrastructure design, modern data platforms (Snowflake, Redshift, BigQuery, Databricks), Python, SQL, R, cloud architecture (AWS, Azure, GCP), DevOps, pipeline automation, regulatory frameworks (HIPAA, GDPR, 21 CFR Part 11), clinical data standards (CDISC, HL7, FHIR), machine learning pipeline integration
Preferred skills
PhD in CS/Statistics/Biomedical Informatics, MS with 4+ years experience, recognized cloud certifications
Technologies
Snowflake, Databricks, Redshift, BigQuery, Python, SQL, R, AWS, Azure, GCP, Bitbucket
Responsibilities
Design and document end-to-end data architectures; Facilitate implementation of modern data platforms; Develop pipelines to monitor and improve data quality; Work with informatics and AI engineers to optimize data utility; Monitor and optimize performance of data architectures; Develop metrics to measure impact of data strategy; Provide technical leadership and mentorship
Seniority
Senior Manager, technical and strategic leadership
