Research Scientist, Biostatistics and Biomedical Informatics for Population Health Sciences (Hybrid

Requisition Id 16160 

Overview:

The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Research 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. We work on some of the most challenging and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning. We have a collaborative environment focusing on designing, implementing, and applying robust and high performance applications for biomedical research. You will have the opportunity to focus on developing new deep learning approaches and foundation models for multi-modal biomedical data in collaboration with partners at the National Cancer Institute, Cincinnati Children's Health, and the US Department of Veterans Affairs. More information about the collaboration can be found at https://datascience.cancer.gov/collaborations/nci-department-energy-collaborations; https://www.cincinnatichildrens.org/research/divisions/d/decoding-mental-health/programs/mental-health-trajectories; https://www.olcf.ornl.gov/2019/08/29/ornl-va-collaboration-targets-veteran-suicide-epidemic/. This position requires novel thinking, collaboration, and discovery in finding innovative approaches for analyzing massive and sophisticated data, collaborating with worldwide experts, and publishing groundbreaking results.

Major Duties and Responsibilities:

You will be responsible for: Participating in and leading research projects in biostatistics, AI, and DL with applications to health sciences Developing translational solutions for population precision health and precision medicine 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. As a U.S. Department of Energy (DOE) Office of Science national laboratory, ORNL has an impressive 80-year legacy of addressing the nation's most pressing challenges. Our team is made up of over 7,000 dedicated and innovative individuals! Our goal is to create an environment where a variety of perspectives and backgrounds are valued, ensuring ORNL is known as a top choice for employment. These principles are essential for supporting our broader mission to drive scientific breakthroughs and translate them into solutions for energy, environmental, and security challenges facing the nation.

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 multi-modal learning across modalities such as text, tabular, genetic, environmental, wearable, or image data. Strong publication record in medical and/or biomedical informatics related journals and conferences

Preferred Qualifications:

Experience in developing and applying biostatistics, AI, and ML-based solutions to healthcare data Experience with population level electronic health data Experience leading diverse teams of biomedical researchers Grant writing experience Experience with high performance computing (HPC) and deep learning frameworks like PyTorch 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. In addition, we offer a flexible work environment that supports both the organization and the employee. A hybrid/onsite working arrangement may be available with this position. 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. If you have difficulty using the online application system or need an accommodation to apply due to a disability, please email: ORNLRecruiting@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. 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.