Senior Manager, Artificial Intelligence Data Engineer

Discover Your Role
- Work with a cross-functional team to optimize and implement data strategy focused on digital transformation and AI/ML.
- Design and document end-to-end data architectures for analytic, operational, and research needs.
- Implement a modern data platform (e.g., Snowflake, Databricks).
- Improve data interoperability and standardization across systems and business units.
- Develop and implement pipelines to monitor and improve internal and external (CRO partners) data quality.
- Partner with informatics and AI engineers to optimize data utility for pipelines.
- Monitor and optimize performance of data architectures and platforms.
- Develop metrics to measure impact of the data strategy.
- Stay current with data engineering advances and evaluate for adoption.

This Role Requires
- Advanced degree preferred (PhD + 2 years or MS + 4 years).
- Minimum 5 years leading implementation of data engineering solutions in life sciences or healthcare.

Required/Preferred Skills
- Clinical/biomedical data infrastructure and architecture expertise.
- Data platforms: Snowflake/Redshift/BigQuery/Databricks; Python, SQL, R.
- Code repo management (e.g., Bitbucket) with version control and documentation.
- Cloud architecture (AWS/Azure/GCP) and DevOps practices (certifications a plus).
- Experience building/scaling pipelines for structured and unstructured data; enterprise integration.
- Regulatory and clinical standards knowledge: HIPAA, GDPR, 21 CFR Part 11; CDISC, HL7, FHIR.
- Knowledge of ML pipelines and integration with clinical data platforms.
- Travel up to 20%.

Application
- Apply now.