Post Doc Associate

Job Description

Develop large language models and other methods and tools to effectively use electronic health record (EHR) data; apply machine learning, especially deep learning methods, to solve critical medical problems.

Implement methods into software that meets research needs, manage and update source codes as needed. Work in an interdisciplinary team of informaticists, programmers, information quality experts, statisticians, and researchers during software development.

Participate in design, implementation, and reporting of research and evaluation studies. Contributions to scientific reports, conference papers and journal articles are expected.

Participate in collaborative projects, contribute to data processing, software development, and other collaborative efforts.

$61,008 - $65,000

• Ph.D. in biomedical informatics, computer science, or a related field.
• Working experience with large language models, data science using EHRs, machine learning, data mining, and natural language processing.

• Experience in natural language processing, large language models, and deep learning.
• Background in software development and familiarity with popular machine learning packages such as PyTorch.
• Excellent formal and interpersonal communication skills, and the ability to communicate effectively to a broad range of audiences such as faculty members and PIs.

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