Description

Company Description

Temple University, in Philadelphia, PA, is one of the nation’s largest public research universities, serving a diverse community of ~40,000 students. Founded in 1884, Temple is a top-tier (R1) institution offering hundreds of degree programs across 17 schools and colleges. The university advances innovation, academic excellence, and inclusive opportunity to drive meaningful impact for students and the broader community.

Role Description

This is a full-time, on-site position for a Postdoctoral Researcher in the Center for AI, Data Science & Informatics directed by Dr. Jay S. Patel at the Temple University Kornberg School of Dentistry (Philadelphia, PA). The postdoc will conduct high-quality research at the intersection of data science, artificial intelligence, healthcare, and dentistry; develop and test hypotheses; and analyze complex, large-scale datasets. Responsibilities include collaboration with cross-disciplinary teams, grant/proposal development, mentoring junior researchers, computer programming and software/tooling, and contributing to peer-reviewed publications. The role may also include assisting with teaching and presenting findings to academic and professional audiences.

Requirements

Minimum Qualifications

Ph.D. in Computer Science, Data Science, Biomedical/Health Informatics, Computational Biology, or a closely related field.

Demonstrated expertise in machine learning, deep learning, natural language processing, or multimodal data fusion.

Strong programming proficiency in Python, R, and SQL, with experience in TensorFlow, PyTorch, or scikit-learn.

Experience with healthcare datasets (e.g., EHR, claims, registries, or imaging).

Excellent scientific writing and communication skills with evidence of peer-reviewed publications.

Prior experience with grant and manuscript preparation.

Preferred Qualifications

Experience with federated learning, explainable AI, and model fairness.

Familiarity with clinical and dental data systems (e.g., Epic, axiUm), health information exchanges (e.g., HSX), or OMOP.

Experience with IRB protocols, data-use/data-sharing agreements, and sponsored research compliance.

Background in population health or health-equity analytics.

Application Instructions

Submit a single PDF to Dr. Jay S. Patel at patel.jay@temple.edu or via LinkedIn message containing:

Cover letter describing research interests, technical expertise, and career goals

Curriculum vitae

Research statement

Contact information for three professional references