Postdoctoral Research Associate In Hpc And Al For Biomedical Data

Postdoctoral Research Associate In Hpc And Al For Biomedical Data
Company:

(Confidential)


Place:

Tennessee


Area:

Programmer

Postdoctoral Research Associate In Hpc And Al For Biomedical Data

Details of the offer

Requisition Id3150 Overview The National Center for Computational Sciences Division (NCCS) at the Oak Ridge National Laboratory (ORNL) operates the world's fastest high performance computing system, largest parallel file system, and other leadership class systems and will deploy an exascale system in 2021. These systems generate enormous volumes of data which, when properly analyzed, can shed new insights into systems operating at extreme scale.

The Advanced Data and Workflows Group within the NCCS is seeking postdoctoral research associates in the areas of data science and biomedical sciences, including data workflows processing, machine learning (ML) and deep learning (DL) at scale.

Specific areas of research interest include:

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Domain:science:informed data science, with emphasis on biomedical science and technology, computational genomics, and clinical/healthcare informatics.
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Applying large:scale analytics and AI to scientific missions in these domains.
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Data analytics pipelines from the Edge to Exascale.
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Computational performance of AI/ML algorithms, including the ability to use modern computing hardware and software frameworks efficiently

Major Duties and Responsibilities:

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Collaborate with internal and external researchers on a wide variety of AI/ML research and projects.
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Integrate and deploy research in AI/ML workflows and algorithms on high performance computing systems.
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Perform scaling and deployments of data science and machine learning algorithms with applications to domain sciences (Basic and Applied Sciences, Nanoscience, Materials Science, Large:Scale Engineering and Design, etc.)
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Deliver toolkits and new capabilities that execute on ORNL's leading data infrastructures.
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Collaborate in authoring peer reviewed papers, technical papers, and reports.

Basic Qualifications:

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Ph.D. in Biomedical Engineering, Computer Science, Computer Engineering, or a field closely related to the job duties of this position.
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Relevant research experience in Bioinformatics, Computational Genomics, Clinical Informatics, Population Health Informatics, or a closely related field.

Preferred Qualifications:

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The ability to conduct independent and significant research.
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Position requires the ability to communicate effectively (both verbal and written).
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Experience in high:performance computing.
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Demonstrated programming ability, and knowledge of Java, Python, C/C++ or other commonly used language.
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Experience with machine learning/deep learning programming and application on biomedical data.
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Experience in natural language processing applications is desirable
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Experience with any data integration technologies
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Experience with core semantic technologies (RDF, OWL, SPARQL)
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Flexibility with regard to the research assignments is required.
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Ability to collaborate with scientists, engineers, and sponsors is also required.
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Capable of producing significant research results, publications, and funding proposals.

ORNL Ethics and Conduct:

As a member of the ORNL scientific community, you will be expected to commit to ORNLs Research Code of Conduct. Our full code of conduct, and a statement by the Lab Directors office can be found here:
ornl.gov/content/research:integrity

Benefits at ORNL:

UT Battelle offers an exceptional benefits package to include matching 401K, Pension Plan, Paid Vacation and Medical / Dental plan. Onsite amenities include Credit Union, Medical Clinic and free Fitness facilities.

Relocation:

Moving is stressful and expensive, and UT Battelle offers a wide range of relocation benefits for individuals and families to make it easier to come and work here. If you are invited to interview, please ask your Recruiter about relocating with ORNL.

For more information about our benefits, working here, and living here, visit the "About" tab


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