Website Oak Ridge National Laboratory


The Biostatistics and Biomedical Informatics Group at Oak Ridge National Laboratory is seeking a highly motivated senior researcher to leverage expertise in large-scale biomedical informatics to build high performance computing tools for healthcare needs. This group creates scalable AI and machine-learning solutions for multidimensional, multimodal data in HPC environments applied to biomedicine. It includes privacy and biomedical informatics for supervised and unsupervised learning with healthcare data, specifically phenotyping, information extraction, medical imaging, multimodal data, and longitudinal analyses.

This position will be part of the Advanced Computing for Health Sciences Section within the Computational Sciences & Engineering Division (CSE).

The Advanced Computing for Health Sciences (ACHS) Section delivers scalable and computational solutions to biomedical and healthcare delivery challenges.

CSE focuses on transdisciplinary computational science and analytics at scale to enable scientific discovery across the physical sciences, engineered systems, and biomedicine and health sciences. It provides foundations and advances in quantum computation and information science and develops community applications, data assets, and technologies to advance crosscutting science outcomes.

Major Duties/Responsibilities:

We are seeking a recognized leader in their area of technical expertise that will initiate, lead and perform independent R&D on an ongoing basis.  

Responsibilities for this position include working closely with the project team to create, evaluate, and publish novel research ideas, supervise and mentor students, and collaborate with our partners and sponsors. Research activities include, but are not limited to:

Developing advanced data analytics methods to enable understanding of large, multimodal, and multidimensional datasets.
Conceptualizing, building, and managing projects with sponsors such as NIH, NCI, and VA.
Publishing papers in high-quality refereed conferences and journals.
Actively collaborating with industry, academia, government labs, and applications developers in a variety of venues.
Contributing to research proposals and reporting to major funding agencies. 

Basic Qualifications Required:

Requires a Ph.D. in computer science, computational science, population health, or a related discipline and at least six years of relevant research experience beyond the PhD.
A well established track record of research in an area relevant to one or more areas of expertise of the group.
Knowledge of state-of-the-art machine and deep learning methods.

Preferred Qualifications:

A Ph.D. in computer science, computational science, population health or a related discipline and at least 8+ years of relevant research experience, beyond the PhD.
The ability to take initiative on research insights to bring them to fruition through publication or demonstration on mission applications.
Excellent interpersonal skills, oral and written communication skills, and strong personal motivation.
The ability to work in a dynamic, interdisciplinary team. 

ORNL Benefits:

ORNL offers competitive pay and benefits programs to attract and retain talented people. The laboratory offers many employee benefits, including medical and retirement plans and flexible work hours, to help you and your family live happy and healthy. Employee amenities such as on-site fitness, banking, and cafeteria facilities are also provided for convenience.

Other benefits include: Prescription Drug Plan, Dental Plan, Vision Plan, 401(k) Retirement Plan, Contributory Pension Plan, Life Insurance, Disability Benefits, Generous Vacation and Holidays, Parental Leave, Legal Insurance with Identity Theft Protection, Employee Assistance Plan, Flexible Spending Accounts, Health Savings Accounts, Wellness Programs, Educational Assistance, Relocation Assistance, and Employee Discounts.

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.

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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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