What are the responsibilities and job description for the Computational Scientist position at Oak Ridge National Laboratory?
Requisition Id 14462
Purpose :
The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Computational Scientist position 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.
Major Duties and Responsibilities :
As a Computational Scientist you will be responsible for :
Developing high-quality code following best practices in the community for documentation, provenance, version control, etc.
Participating in and leading 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 equal opportunity by fostering a respectful workplace – in how we treat one another, work together, and measure success
Basic Qualifications :
PhD and 2 years of experience in a computational discipline such as Computer Science, Statistics, Biomedical Engineering, or a related field.
Experience with high performance computing (HPC) and deep learning frameworks like PyTorch.
Strong publication record in journals and conferences.
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.
Experience with heath care informatics and clinical data is highly desired.
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 : 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.
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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.
