Spatial AI Research Associate: Precision Health & Imaging

Case; Cleveland (OH); Presencial; USD 55.000 - 56.000; Jornada completa

Descripción de la vacante

Case Western Reserve University’s Cardiovascular Research Institute seeks a Research Associate to design and implement AI-driven spatial analytics uniting clinical, imaging, environmental, and geospatial data. You will develop reproducible computational pipelines, mentor trainees, and contribute to manuscripts and grant proposals.

Working with an interdisciplinary team, you will advance a person, place, and time framework for understanding disease risk and healthcare delivery, coordinating

Formación

• Advanced ML/DL methods for biomedical data and geospatial data.
• Strong background in spatial computing and GIS techniques.
• Proficiency with Python and at least one analytics stack (R/SQL/ML frameworks).
• Experience with healthcare data types and interoperability standards.
• Excellent analytical reasoning and scientific communication.

Responsabilidades

• Design AI and spatial analytics integrating EHR, imaging, environmental, and geospatial data.
• Coordinate multidisciplinary projects, ensure data integrity and compliance.
• Contribute to strategic planning and grant proposals.
• Lead manuscript preparation and presentations; share findings with collaborators.
• Mentor students and junior investigators in reproducible research practices.

Conocimientos

Machine learning

Geospatial computing

Python

EHR data

Written and verbal communication

Project management

Mentoring

Reproducible research

Team collaboration

Data privacy and regulatory compliance

Educación

Master's degree in related quantitative field

PhD/MD or terminal degree acceptable in lieu

Herramientas

PyTorch

TensorFlow

Apache Spark

Docker

Azure

AWS

Google Cloud

ArcGIS Pro

QGIS

Descripción del empleo

Case Western Reserve University’s Cardiovascular Research Institute seeks a Research Associate to design and implement AI-driven spatial analytics uniting clinical, imaging, environmental, and geospatial data. You will develop reproducible computational pipelines, mentor trainees, and contribute to manuscripts and grant proposals.

Working with an interdisciplinary team, you will advance a person, place, and time framework for understanding disease risk and healthcare delivery, coordinating