Postdoctoral Research Associate - AI/ML for Health and Biostatis with Security Clearance

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Job description

Requisition Id 13755 Overview: We are seeking a Post Doctoral Research Associate who will focus on AI/ML for Health and Biostatistics. This position resides in the Biostatistics and Biomedical Informatics Group in the Advanced Computing for Health Sciences, Computational Sciences and Engineering Division, Computing and Computational Science, at Oak Ridge National Laboratory (ORNL). You will have a unique opportunity to work in a collaborative research and development environment focusing on biostatistics, artificial intelligence (AI) and machine learning (ML). We are specifically seeking a candidate with solid experience with handling multimodal healthcare data. We are looking for someone with innovative thinking to design and implement statistical, AI and ML algorithmic solutions to real world problems in healthcare and biomedical research. You will have the opportunity to conduct computational research and collaborate with scientists within the group as well as with external partners which may include other national laboratories, academia, or medical centers. You will also perform groundbreaking research on a wide range of significant problems with the fastest computing platforms in the world. 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/Responsibilities: Collaborate with internal and external researchers on a variety of AI/ML-related health and bioinformatics research and projects.
Integrate research in biostatistics, AI, and ML with high performance computing systems.
Work on collaborative projects within ORNL and with external collaborators.
Publish research results in journal articles, conference papers, and contribute to grant writing efforts within the group.
Exemplify a commitment to excellence in research, operations, and community engagement, and work cooperatively to leverage scientific capabilities across ORNL.
Work in a highly collaborative environment with data scientists, mathematicians, biostatisticians, and geospatial scientiststo deliver research and development prototypes. 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 degree in mathematics, statistics, computer science, or a closely related discipline completed within the last 5 years.
A record of productive and creative research in biostatistics, AI and ML proven by publications in peer-reviewed journals and/or conference presentations. Preferred Qualifications: A strong background with deep neural networks, have experience working on PyTorch or similar DL frameworks, programming in Python (preferred), usage and understanding of basic Machine Learning algorithms and tools.
Experience in Bayesian modelling and Monte Carlo methods.
Experience in software development and high-performance computing.
Excellent written and oral communication skills.
Motivated self-starter with the ability to work independently and to participate creatively in collaborative teams across the laboratory.
Ability to function well in a fast-paced research environment, set priorities to accomplish multiple tasks within deadlines, and adapt to ever changing needs. 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 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
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Under the My Documents section, select Add a Document This position requires the ability to obtain and maintain an HSPD-12 PIV badge. 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: 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 . 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.

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