Postdoctoral Fellow - Clinical AI & Digital Health

Medical University of South Carolina; Charleston (SC); On-site; USD 34,000 - 55,000; Full time

Job summary

The Medical University of South Carolina (MUSC) in Charleston invites applications for a postdoctoral researcher in clinical AI and digital health within the Division of Biomedical Informatics & AI, Department of Public Health Sciences. The role focuses on transforming real-world health data into tools to improve patient care and working closely with Dr.

Mamoun Mardini. Responsibilities include acquiring diverse data, developing ML/LLM models, publishing first-author work, and contributing to

Qualifications

• PhD (or completion before start) in biomedical informatics, computer science/engineering, data science, biomedical engineering, biostatistics or a related field.
• Strong programming skills in Python; experience with PyTorch or similar deep learning frameworks.
• Hands‑on experience with machine learning on real‑world health data.
• A record of first-author publications and clear scientific writing.
• Experience with clinical NLP, transformer models or LLMs (fine‑tuning, prompting, retrieval‑augmented generation).
• Experience with EHR data, wearable sensor data or ecological momentary assessment.
• Familiarity with aging, frailty or perioperative research.
• Interest in pursuing a K award or other early‑career funding.

Responsibilities

• Acquire, curate and preprocess EHR, clinical notes, wearable and mobile data, and design, train and evaluate machine learning, deep learning and language models.
• Lead analyses and first-author manuscripts for peer-reviewed journals and conferences, and present findings at national meetings (e.g., AMIA, IEEE, GSA).
• Contribute to NIH grant proposals, including preliminary data and aims development.
• Work with collaborators to define clinically meaningful outcomes and validate models.
• Help mentor graduate and undergraduate students in the lab.

Skills

Python

PyTorch

ML on health data

First-author publications

Clinical NLP

LLMs/Transformers

EHR data familiarity

Data preprocessing

Education

PhD in biomedical informatics / CS / data science / related field

Tools

PyTorch

Job description

The Medical University of South Carolina (MUSC) in Charleston invites applications for a postdoctoral researcher in clinical AI and digital health within the Division of Biomedical Informatics & AI, Department of Public Health Sciences. The role focuses on transforming real-world health data into tools to improve patient care and working closely with Dr.

Mamoun Mardini. Responsibilities include acquiring diverse data, developing ML/LLM models, publishing first-author work, and contributing to