Postdoctoral Researcher (Center for AI, Data Science & Informatics)
- Temple University
- Location: Philadelphia, PA
- Job Number: 7322237
- Posting Date: Newly posted
- Salary / Pay Rate: 60,000-80,000
- Application Deadline: Open Until Filled
Job 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.
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 [email protected] 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
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 [email protected] 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
