Cardiac AI Data Science Postdoctoral Fellow

Mount Sinai; New York (NY); On-site; USD 73,000 - 80,000; Full time

Job summary

Mount Sinai invites applications for a Postdoctoral Data Science Research Fellowship in Artificial Intelligence, based in New York City. The role centers on AI applications to novel devices, waveform processing, EHR data, and clinical care, within the Windreich Department of AI and Human Health and Mount Sinai Fuster Heart Hospital.

The ideal candidate will have a PhD/MD-PhD in a quantitative field, strong ML experience, Python proficiency, and a track record of publications.

Qualifications

• PhD/MD-PhD in a quantitative field with strong ML background.
• Experience with CNNs, Transformers, ECG embeddings, GNNs and DL frameworks.
• Strong Python programming, statistics and data science background.
• Track record of academic publication or code available.

Responsibilities

• Apply deep learning to cardiovascular devices, waveform processing, EHR data and clinical care.
• Collaborate with data scientists, engineers and clinicians to develop scalable AI solutions.

Skills

Python

CNNs

Transformers

GNNs

Deep learning

Education

PhD/MD-PhD in quantitative science

Tools

TensorFlow

PyTorch

Keras

d3rlpy

ECG embeddings

Job description

Mount Sinai invites applications for a Postdoctoral Data Science Research Fellowship in Artificial Intelligence, based in New York City. The role centers on AI applications to novel devices, waveform processing, EHR data, and clinical care, within the Windreich Department of AI and Human Health and Mount Sinai Fuster Heart Hospital.

The ideal candidate will have a PhD/MD-PhD in a quantitative field, strong ML experience, Python proficiency, and a track record of publications.