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Postdoctoral Research Associate - Biomedical NLP and Deep Learning

Posted 21 December 2021 - 01:34 PM


We are seeking a Postdoctoral Research Associate to work on Natural Language Processing (NLP) projects that leverage state-of-the-art deep learning models, high performance computing, and large datasets of unstructured clinical text. The position will be in the Biostatistics and Multiscale Systems (BMS) group in the Advanced Computing in Health Science (ACHS) Section of the Computational Science and Engineering Division (CSED). The ACH delivers scalable and computational solutions to biomedical and healthcare delivery challenges. The BSMS Group focuses on conducting research in computational, data, and engineering sciences in the context of biomedical, clinical, and public health disciplines and applying this knowledge to support the nationís leading health initiatives.

As a postdoctoral research associate, you will have the opportunity to help solve some of the most challenging problems this country faces. You will perform ground breaking research on a wide range of significant problems with the fastest computing platforms in the world. This position requires novel thinking, teamwork, and discovery in finding new approaches for analyzing massive and complex data, collaborating with worldwide experts, and publishing groundbreaking results.

Major Duties/Responsibilities:

Research, design, and implement scalable deep learning NLP solutions for clinical text classification, information extraction, and other related tasks on a dataset composed of several million cancer pathology reports
Perform research with scalable Transformer-based models such as BERT using clinical and biomedical text data
Author peer reviewed papers, technical papers, reports and proposals for internal and external release and represent the organization by giving technical presentations in large public forums
Be a part of a vibrant collaborative research environment which will provide the opportunity to perform cutting-edge research in deep learning and high-performance computing using ORNLís Leadership Class Supercomputer

Basic Qualifications:

PhD in Computational Linguistics, Biomedical/Health Informatics, Data Science, Computer Science, Artificial Intelligence, or other discipline related to the job duties of this position completed in the last 5 years
Demonstrated experience working with text data and natural language processing techniques
Demonstrated experience working with deep learning frameworks like Tensorflow or PyTorch
Clear understanding of common data science methodologies and techniques, e.g. supervised and unsupervised learning, feature selection/engineering, hyperparameter optimization, dimensionality reduction, word embeddings, etc.

Read more / apply: https://ai-jobs.net/...-deep-learning/

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