The Windreich Department of Artificial Intelligence and Human Health (AIHH) at the Icahn School of Medicine at Mount Sinai is looking to integrate healthcare data from various sources into an integrated platform to accelerate scientific discovery and deliver meaningful improvements in patient care and health systems worldwide.
Requirements
- Strong programming skills in Python, with experience in libraries such as Pandas and NumPy.
- Solid understanding of logical thinking and software engineering fundamentals.
- Knowledge of SQL and experience with relational databases.
- Familiarity with data integration tools and technologies (e.g., Apache Airflow, Talend, Informatica) is a plus.
- Experience building data ingestion workflows
- Familiarity with cloud architecture such as Azure, GCP or AWS
- Experience working with healthcare data standards and technologies (i.e., DICOM, FHIR, etc.)
Responsibilities
- Design, develop, and maintain efficient and reliable ETL (Extract, Transform, Load) pipelines.
- Integrate diverse data sources, ensuring high-quality and consistent data ingestion.
- Perform data wrangling and preprocessing to prepare data for analysis and machine learning.
- Collaborate with data scientists, software engineers, and other stakeholders to understand data requirements and deliver solutions.
- Implement best practices for data management, including data governance, data quality, and data security.
- Monitor and optimize data workflows to ensure performance and scalability.
- Troubleshoot and resolve data-related issues promptly.
Other
- 4+ years relevant professional development experience
- Excellent attention to detail and problem-solving skills.
- Ability to learn quickly and adapt to new technologies and methodologies.
- Strong communication and teamwork skills.
- Must be willing to pivot with the needs of the organization and learn / grow skillsets
