Data Engineer
Core
Develop and test data pipelines, AI integrations, and analytical tools for pharmaceutical and clinical data workflows.
Role type
Mid-to-Senior Data Science Engineer (Clinical/AI)
Builds
Data pipelines, API/ML components, and analytical tools for clinical development
Domain
Pharmaceutical industry + Clinical Data Science + AI/ML
Deliverable
production ML models
Required skills
Python, SQL, version control, software testing, data structures, cloud environments, API development, regression testing, documentation
Preferred skills
R, generative AI literacy, software design, debugging, privacy risk recognition, learning agility
Technologies
Python, SQL, cloud environments, AI tools
Responsibilities
Implement assigned API, retrieval, or ML components; prepare permitted datasets and record sources/versions; run regression and failure-case tests; review AI-assisted code and record reproducible results; support acceptance testing and document AI limitations; maintain code quality and reliability; prepare technical documentation and training materials
Seniority
Mid-to-Senior, hands-on IC
