Postdoctoral Research Associate - Biostatistics, Al & ML (Hybrid Eligible)

Date: Mar 23, 2024

Location: Oak Ridge, TN, US, 37830

Company: Oak Ridge National Laboratory

Requisition Id 12608 

Overview:  

We are seeking a Postdoctoral Research Associate who will support the Biostatistics and Biomedical Informtatics group in the Computational Sciences & Engineering Division (CSED) 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: 

  • Participate in research projects in biostatistics, AI, and ML with applications to health sciences at the direction of principle investigators or delegated research scientists

  • Integrate research in biostatistics, AI, and ML with high performance computing systems

  • Work on collaborative projects within ORNL and with external collaborators

  • Publish papers, participate in conferences, and contribute to grant writing efforts within the group

  • 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 in Biomedical Engineering, Computer Science, Statistics, or a related field 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 in multi modal data handling – medical imaging, structured and unstructured clinical data.

  • Experience in developing and applying biostatistics, AI, and ML -based solutions to healthcare data.

  • Experience in neural networks: implementation and application of RNN and CNN.

  • 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 recruiting@ornl.gov 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

  • View Profile

  • Under the My Documents section, select Add a Document

 

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 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: ORNLRecruiting@ornl.gov or call 1.866.963.9545.

 

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.


Nearest Major Market: Knoxville