AI Data Infrastructure Specialist

3 days ago

Toronto, Canada Banting AI Full time
Unlock the Power of Healthcare Data

About Banting AI

We're harnessing the power of advanced AI to reshape the future of healthcare. Our mission is ambitious: to build technology that empowers and accelerates clinical research and paves the way for personalized, predictive medicine.

Role Overview

As an AI Data Infrastructure Specialist at Banting AI, you'll play a crucial role in building our data infrastructure. You will manage data ingestion, transformation, and storage, ensuring that our models have access to high-quality, compliant data. This role involves close collaboration with our machine learning team to establish scalable, efficient data pipelines that support our MVP and pilot programs.

Key Responsibilities:

  • Design, build, and maintain robust data pipelines for secure ingestion, transformation, and storage of EHR, imaging, and genomic data.
  • Ensure all data processes comply with regulatory standards, including HIPAA and GDPR.
  • Conduct data validation and quality assurance to maintain the integrity of ingested data.
  • Collaborate with data scientists and machine learning engineers to optimize data flows and accessibility for model training and testing.
  • Monitor and manage database performance and data storage solutions to support scalability.

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
  • 3+ years of experience in data engineering, with a focus on healthcare or clinical data preferred.
  • Proficiency in SQL and experience with data storage and processing solutions (e.g., AWS, GCP, or Azure).
  • Strong skills in ETL and data pipeline tools (e.g., Apache Airflow, Talend, dbt).
  • Familiarity with data privacy and compliance standards (HIPAA, GDPR).
  • Excellent problem-solving skills and ability to work collaboratively in a cross-functional team.

Estimated Salary: $120,000 - $180,000 per year

We are committed to fostering an inclusive and diverse environment. We believe that diversity in thought, background, and experience makes us stronger, and we welcome candidates from all backgrounds to apply.

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