Research Scientist, Privacy Preserving AI for Health Sciences (Hybrid Eligible)

at  Oak Ridge National Laboratory

OVERVIEW:

The Advanced Computing in Health Sciences (ACH) section at the Oak Ridge National Laboratory is seeking applicants for a Research Scientist position contributing to health research projects. You will have the opportunity to contribute to research dealing with HIPAA compliant research data that has been entrusted to ORNL by sponsors such as the National Cancer Institute. As such, you will get to work on some of the most ambitious and impactful R&D 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 have the opportunity to focus on developing innovative ways to cross-silo federated learning and privacy preserving AI for applications 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. We are looking for someone with novel thinking, the ability to work on a team to discover and find 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.

BASIC QUALIFICATIONS:

• PhD in a computational area such as Computer Science, Statistics, Biomedical Engineering, or a related field.
• Experience in developing and applying algorithms for federated learning and privacy-preserving AI.
• Strong publication record in journals and conferences.

PREFERRED QUALIFICATIONS:

• Prior postdoctoral experience preferred.
• Experience in developing and applying biostatistics, AI, and ML-based solutions to healthcare data.
• Experience with high performance computing (HPC) and deep learning frameworks like PyTorch.
• 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.

• Developing high-quality code following standard methodologies 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.
• Delivering 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.