Position Details
About this role
This role focuses on improving data quality, managing clinical data, and developing data infrastructure within a healthcare environment. The candidate will work on data conversion, architecture, and AI/ML model support.
Key Responsibilities
- Improve data quality
- Manage data infrastructure
- Convert raw data
- Develop database architecture
- Implement AI/ML models
Technical Overview
Involves data management, database architecture, cloud-based data systems, AI/ML models, and data processing tools, primarily using Python and SQL.
Ideal Candidate
The ideal candidate is an entry-level data engineer or analyst with a master's degree in a quantitative field, experienced in data quality, management, and processing. Familiarity with AI/ML and cloud systems is preferred.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Certifications
Required
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of experience with data management or engineering, No master's degree in relevant field, Unwillingness to work in a hybrid environment
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