Cardiac AI Data Science Postdoc Fellow

Mount Sinai Medical Center; New York, Northern (NY, KY); Hybrid; USD 73,000 - 80,000; Full time

Job summary

Mount Sinai Medical Center in New York City invites applications for a Postdoctoral Data Science Research Fellowship in AI. The role focuses on novel devices, cardiac waveform processing and EHR data to advance AI in clinical care.

Responsibilities include collaborating with clinicians and engineers to develop scalable deep learning models, graph neural networks, and AI-based decision support systems. Strong English, publication track record, and Python expertise are desired.

Qualifications

• PhD or MD/PhD in a quantitative science-related field (e.g., biomedical informatics, clinical informatics, machine learning, biostatistics).
• Significant experience in machine learning techniques; published work or code preferred.
• Proficiency in Python and statistical programming.
• Strong statistics, data science or engineering background advantageous.
• Track record of academic publication and creative approach.

Responsibilities

• Apply deep learning to cardiovascular disease and novel device technologies.
• Collaborate with data scientists, engineers and clinicians on scalable AI solutions.
• Develop clinically meaningful and operational AI systems.

Skills

CNNs

Transformers

ECG embeddings

GNNs

Python

Deep Learning frameworks

Education

PhD or MD/PhD in quantitative field

Tools

d3rlpy

TensorFlow

PyTorch

Keras

Job description

Mount Sinai Medical Center in New York City invites applications for a Postdoctoral Data Science Research Fellowship in AI. The role focuses on novel devices, cardiac waveform processing and EHR data to advance AI in clinical care.

Responsibilities include collaborating with clinicians and engineers to develop scalable deep learning models, graph neural networks, and AI-based decision support systems. Strong English, publication track record, and Python expertise are desired.