Research Scientist, Multimodal Machine Learning R&D for Population Health Sciences (Hybrid Eligible)

Requisition Id 11319 

Overview:

The Biostatistics and Biomedical Informatics Group within the Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking qualified applicants for a Research Scientist position contributing to health research projects. The research activities include working with HIPAA compliant research data that has been entrusted to ORNL by sponsors such as the National Cancer Institute. These are some of the most ambitious and impactful research and development programs in healthcare informatics, bioinformatics, high performance computing and deep learning.

Are you looking for a collaborative research and development environment focusing on crafting, implementing, and applying robust and high performance applications for biomedical research? By joining our team, you will 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/.

We are looking for someone with novel thinking, the ability to work on a team to discover 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:

• Develop high-quality code following best practices in the community for documentation, provenance, version control, etc.
• Participate in and lead research projects in biostatistics, AI, and DL with applications to health sciences
• Integrate research in biostatistics, AI, and ML with high performance computing systems
• Prepare manuscripts and dissemination of research results in publications and conferences.
• Work in secure enclaves and open computing environments on a wide variety of applied areas.
• Conduct 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:

• 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, 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
• 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: [email protected] or call 1.866.963.9545.

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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 [email protected].

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.