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Postdoctoral Research Associate - Biomedical Natural Language Processing and Deep Learning

Date: May 13, 2022

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 7238 

Overview: 

Oak Ridge National Laboratory is the largest US Department of Energy science and energy laboratory, conducting basic and applied research to deliver transformative solutions to compelling problems in energy and security.

 

We are seeking a Postdoctoral Research Associate who will support the Biostatistics and Multiscale Systems (BMS) Group in the Computational Science and Engineering Division (CSED), Computing and Computational Sciences Directorate (CCSD) at Oak Ridge National Laboratory (ORNL) 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.

 

Example problems include extracting topography and morphology information from cancer pathology reports, using the Summit supercomputer to pretrain state-of-the-art Transformer language models for clinical and biomedical text, and developing privacy-preserving deep learning models that generalize well to clinical organizations across the US. There is flexibility in defining new research directions relevant to the problems and projects being tackled.

 

As a postdoctoral research associate, you will have the opportunity to help solve some of the most challenging problems this world 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 ORNL’s Leadership Class Supercomputer

 

Basic Qualifications:

  • A PhD in Computational Linguistics, Biomedical/Health Informatics, Data Science, Computer Science, Artificial Intelligence or a related field completed within 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.

 

Preferred Qualifications:

  • Previous publications in high impact deep learning, natural language processing, or biomedical/health informatics venues
  • Excellent written and oral communication skills
  • Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory 
  • Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs

 

Please submit three letters of reference when applying to this position. You can upload these directly to your application or have them sent to postdocrecruitment@ornl.gov with the position title and number referenced in the subject line.

 

Instructions to upload documents to your candidate profile:

  • Login to your account via jobs.ornl.gov
  • View Profile
  • Under the My Documents section, select Add a Document

 

Applicants cannot have received their Ph.D. more than five years prior to the date of application and must complete all degree requirements before starting their appointment. The appointment length will be for up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and the availability of funding.

 

Moving can be overwhelming and expensive. UT-Battelle offers a generous relocation package to ease the transition process. Domestic and international relocation assistance is available for certain positions. If invited to interview, be sure to ask your Recruiter (Talent Acquisition Partner) for details.


For more information about our benefits, working here, and living here, visit the “About” tab at jobs.ornl.gov.

 

This position will remain open for a minimum of 5 days after which it will close when a qualified candidate is identified and/or hired.

We accept Word (.doc, .docx), Adobe (unsecured .pdf), Rich Text Format (.rtf), and HTML (.htm, .html) up to 5MB in size. Resumes from third party vendors will not be accepted; these resumes will be deleted and the candidates submitted will not be considered for employment.


If you have trouble applying for a position, please email ORNLRecruiting@ornl.gov.


ORNL is an equal opportunity employer. All qualified applicants, including individuals with disabilities and protected veterans, are encouraged to apply.  UT-Battelle is an E-Verify employer.


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