Postdoctoral Research Associate - Computational Scientist

Requisition Id13883

Overview:

The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seekingqualified applicants for aPostdoctoral Research Associateposition for health research projects.The research activities include HIPAA compliant research data that has been entrusted to ORNL by sponsors such as the National Cancer Institute. As such, you will have the opportunity to work on some of the most challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning.

The candidate will work in a collaborative research and development environment focusing on designing, implementing, and applying robust and high performance applications for biomedical research. The candidate's work will focus on developing foundation models, such as large language models, on DOE supercomputers and applying them to population-level cancer research in collaboration with partners at the National Cancer Institute. More information about the collaboration can be found at https://datascience.cancer.gov/collaborations/nci-department-energy-collaborations. 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.

As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an extraordinary 80-year history of solving the nation's biggest problems. We have a dedicated and creative staff of over 6,000 people! Our vision for diversity, equity, inclusion, and accessibility (DEIA) is to cultivate an environment and practices that foster diversity in ideas and in the people across the organization, as well as to ensure ORNL is recognized as a workplace of choice. These elements are critical for enabling the execution of ORNL's broader mission to accelerate scientific discoveries and their translation into energy, environment, and security solutions for the nation.

Major Duties and Responsibilities:

• Developing high-quality code following best practices in the community for documentation, provenance, version control, etc.
• Participating in research projects in biostatistics, AI, and DL with applications to health sciences.
• Integrating research in biostatistics, AI, and ML with high performance computing systems.
• Preparing manuscripts and dissemination of research results in publications and conferences.
• Working in secure enclaves and open computing environments on a wide variety of applied areas.
• Conducting tasks independently and communicate effectively to team members and stakeholders.
• Deliver ORNL's mission by aligning behaviors, priorities, and interactions with our core values of Impact, Integrity, Teamwork, Safety, and Service. Promote diversity, equity, inclusion, and accessibility by fostering a respectful workplace - in how we treat one another, work together, and measure success.

Basic Qualifications:

• A PhD in a computational discipline such as data science, computer science, applied mathematics, statistics, biomedical engineering, or a related field.
• Strong experience with deep learning frameworks like PyTorch.
• Familiarity with running on scheduled clusters or cloud services.

Preferred Qualifications:

• Experience in developing and applying biostatistics, AI, and ML-based solutions to healthcare data.
• Experience developing parallel algorithms and scalable workflows for HPC resources.
• Experience with large language models, natural language processing, and generative AI tools.
• Self-disciplined work ethic and eagerness to tackle challenging research problems.

Special Requirements:

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 up to 24 months with the potential for extension. Initial appointments and extensions are subject to performance and availability of funding.

Please submit three letters of reference when applying to this position. You may 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

Benefits at ORNL:

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 the following: 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.

If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@ornl.gov

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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.